diff --git a/mean-values-per-subtask/subtask-means-1-dsc-Brain.csv b/mean-values-per-subtask/subtask-means-1-dsc-Brain.csv
new file mode 100644
index 0000000..21f1dc8
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-dsc-Brain.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Edema","Non-enhancing tumor","Enhancing tumor"
+"1","BCVuniandes","0.686927864910766","0.43485040732435","0.651019455174839"
+"2","K.A.V.athlon","0.666334644016289","0.466192556076986","0.674601634030765"
+"3","CerebriuDIKU","0.695246599616768","0.431147977660791","0.667360841320202"
+"4","EdwardMa12593","0.370022876941507","0.0141969458042343","0.175573194257336"
+"5","MIMI","0.650484187848858","0.443730130145674","0.66481165244215"
+"6","VST","0.536510944772705","0.295042640359612","0.628217374424292"
+"7","AI-MED","0.643462457482471","0.351032170292365","0.613911674231689"
+"8","nnU-Net","0.677072297954057","0.477277056387121","0.681629488227259"
+"9","jiafucang","0.332870706580542","0.269242156070593","0.310470989897095"
+"10","Lesswire1","0.627811351067269","0.412541691864573","0.576922505276571"
+"11","lupin","0.661502381872724","0.416257910079909","0.641478250681033"
+"12","BUT","0.639962818566717","0.34616201077376","0.623507674396154"
+"13","LfB","0.596024734587778","0.443935803109229","0.618823265956251"
+"14","NVDLMED","0.675181785175697","0.449961044049912","0.680108406995829"
+"15","LS Wang's Group","0.675849730935297","0.457163359260401","0.663392423763552"
+"16","UBIlearn","0.651903799071881","0.37141424593461","0.619982843445019"
+"17","whale","0.640610255511486","0.295305584383563","0.230420335884933"
+"18","RegionTec","0.419236776704926","0.351889400808402","0.546933392962544"
+"19","A-REUMI01","0.643308984841009","0.400124964368563","0.636193672994844"
+"20","MEDIAN","0.643462457482471","0.412541691864573","0.628217374424292"
diff --git a/mean-values-per-subtask/subtask-means-1-dsc-Heart.csv b/mean-values-per-subtask/subtask-means-1-dsc-Heart.csv
new file mode 100644
index 0000000..d3c4e51
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-dsc-Heart.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Left atrium"
+"1","BCVuniandes","0.802035629791725"
+"2","K.A.V.athlon","0.917220676875513"
+"3","CerebriuDIKU","0.894745428009598"
+"4","EdwardMa12593","0.728198553547204"
+"5","MIMI","0.897588958351604"
+"6","VST","0.889786253881878"
+"7","AI-MED","0.762085641390074"
+"8","nnU-Net","0.927700614602321"
+"9","jiafucang","0.879354228850876"
+"10","Lesswire1","0.716692592063494"
+"11","lupin","0.918613142882946"
+"12","BUT","0.757918718550606"
+"13","LfB","0.910391557150047"
+"14","NVDLMED","0.924616174082496"
+"15","LS Wang's Group","0.898668658418638"
+"16","UBIlearn","0.908882198379547"
+"17","whale","0.890738188126001"
+"18","RegionTec","0.633642672498326"
+"19","A-REUMI01","0.896426980268749"
+"20","MEDIAN","0.894745428009598"
diff --git a/mean-values-per-subtask/subtask-means-1-dsc-Hippocampus.csv b/mean-values-per-subtask/subtask-means-1-dsc-Hippocampus.csv
new file mode 100644
index 0000000..feb1ce3
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-dsc-Hippocampus.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Anterior","Posterior"
+"1","BCVuniandes","0.891165605992455","0.876187341624204"
+"2","K.A.V.athlon","0.898287102402671","0.885191010521493"
+"3","CerebriuDIKU","0.896760597398975","0.883057031624522"
+"4","EdwardMa12593","0.865652526837885","0.865968829361463"
+"5","MIMI","0.893315304752638","0.879842453869337"
+"6","VST","0.857682578718326","0.870089120833682"
+"7","AI-MED","0.8345949536311","0.725567964954371"
+"8","nnU-Net","0.903704165847659","0.889493874206879"
+"9","jiafucang","0.88389771736862","0.861877456575018"
+"10","Lesswire1","0.801045158373357","0.769461896927234"
+"11","lupin","0.896634640537403","0.882551043703897"
+"12","BUT","0.826037365614807","0.82919959508009"
+"13","LfB","0.793427379825503","0.84456878693655"
+"14","NVDLMED","0.879653896812107","0.867126946149512"
+"15","LS Wang's Group","0.902690506538285","0.885151105796259"
+"16","UBIlearn","0.887260253708599","0.852504590027737"
+"17","whale","0.861923881507727","0.85106801666161"
+"18","RegionTec","0.717408472049669","0.702298345347946"
+"19","A-REUMI01","0.882214332530481","0.862555036321671"
+"20","MEDIAN","0.882214332530481","0.865968829361463"
diff --git a/mean-values-per-subtask/subtask-means-1-dsc-Liver.csv b/mean-values-per-subtask/subtask-means-1-dsc-Liver.csv
new file mode 100644
index 0000000..61300eb
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-dsc-Liver.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Liver","Liver tumor"
+"1","BCVuniandes","0.86934675158155","0.44459240665336"
+"2","K.A.V.athlon","0.947395220569334","0.616453752239326"
+"3","CerebriuDIKU","0.942658940838188","0.572523839164653"
+"4","EdwardMa12593","0.807070950822709","0.148514892416196"
+"5","MIMI","0.93941694812178","0.603388651933901"
+"6","VST","0.929056464944322","0.535632616918935"
+"7","AI-MED","0.913288641560725","0.513439580942628"
+"8","nnU-Net","0.952435780126581","0.737063297323736"
+"9","jiafucang","0.839376652250339","0.288496661811001"
+"10","Lesswire1","0.849074437851009","0.477543929391413"
+"11","lupin","0.947883136500816","0.613975469365674"
+"12","BUT","0.94033479479633","0.600075758228584"
+"13","LfB","0.904419322090615","0.462609384228291"
+"14","NVDLMED","0.950625103783511","0.714029892175755"
+"15","LS Wang's Group","0.93925454165101","0.549625147514676"
+"16","UBIlearn","0.944576119680161","0.50305102698017"
+"17","whale","0.9429471460154","0.621886954460895"
+"18","RegionTec","0.909935193613333","0.321287062048517"
+"19","A-REUMI01","0.925604442198377","0.429734516845573"
+"20","MEDIAN","0.93925454165101","0.535632616918935"
diff --git a/mean-values-per-subtask/subtask-means-1-dsc-Lung.csv b/mean-values-per-subtask/subtask-means-1-dsc-Lung.csv
new file mode 100644
index 0000000..d9062f0
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-dsc-Lung.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Lung tumor"
+"1","BCVuniandes","0.42159435155593"
+"2","K.A.V.athlon","0.60555789451957"
+"3","CerebriuDIKU","0.587051130365547"
+"4","EdwardMa12593","0.0828360176591161"
+"5","MIMI","0.545023180745259"
+"6","VST","0.474615797594936"
+"7","AI-MED","0.195991725009329"
+"8","nnU-Net","0.691985336796046"
+"9","jiafucang","0.553418141163372"
+"10","Lesswire1","0.175318180080115"
+"11","lupin","0.546108864886724"
+"12","BUT","0.331395347438625"
+"13","LfB","0.469649594191238"
+"14","NVDLMED","0.521510879897025"
+"15","LS Wang's Group","0.548573002618895"
+"16","UBIlearn","0.509899780765873"
+"17","whale","0.510749937005772"
+"18","RegionTec","0"
+"19","A-REUMI01","0.45404102114336"
+"20","MEDIAN","0.509899780765873"
diff --git a/mean-values-per-subtask/subtask-means-1-dsc-Pancreas.csv b/mean-values-per-subtask/subtask-means-1-dsc-Pancreas.csv
new file mode 100644
index 0000000..d0dc0b5
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-dsc-Pancreas.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Pancreas","Tumor mass"
+"1","BCVuniandes","0.562601070523309","0.150135133979215"
+"2","K.A.V.athlon","0.749661883933845","0.43198436693314"
+"3","CerebriuDIKU","0.71233146568754","0.249838954330988"
+"4","EdwardMa12593","0.502972699166606","0.00361535891422593"
+"5","MIMI","0.702438857235052","0.258848013207799"
+"6","VST","0.711135046942705","0.369947623003787"
+"7","AI-MED","0.477453324583961","0.0359201837233586"
+"8","nnU-Net","0.795339524844813","0.522687890798893"
+"9","jiafucang","0.559065198869061","0.198848391345404"
+"10","Lesswire1","0.552438361148892","0.0705186935907349"
+"11","lupin","0.759884994865594","0.212387306069112"
+"12","BUT","0.731923011411291","0.206906535920187"
+"13","LfB","0.588352901936529","0.279132298125402"
+"14","NVDLMED","0.784189155641006","0.384804695297318"
+"15","LS Wang's Group","0.70764836340569","0.264980803443016"
+"16","UBIlearn","0.685681111765827","0.175997435247767"
+"17","whale","0.663664636154263","0.277154550276666"
+"18","RegionTec","0.611445845126028","0.0729772902307812"
+"19","A-REUMI01","0.650596236806874","0.195947293214375"
+"20","MEDIAN","0.685681111765827","0.212387306069112"
diff --git a/mean-values-per-subtask/subtask-means-1-dsc-Prostate.csv b/mean-values-per-subtask/subtask-means-1-dsc-Prostate.csv
new file mode 100644
index 0000000..fdeb223
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-dsc-Prostate.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Prostate PZ","Prostate TZ"
+"1","BCVuniandes","0.686909939492607","0.85974233333286"
+"2","K.A.V.athlon","0.734196133682199","0.877992074315978"
+"3","CerebriuDIKU","0.691128226582776","0.863376573004827"
+"4","EdwardMa12593","0.434532744968463","0.738518009752687"
+"5","MIMI","0.706708025970584","0.869362697820279"
+"6","VST","0.715035179317301","0.860439845438377"
+"7","AI-MED","0.562634618030197","0.784489218008304"
+"8","nnU-Net","0.758071654756723","0.895870137023775"
+"9","jiafucang","0.700149604071339","0.841984614636123"
+"10","Lesswire1","0.52274445817997","0.777863767822088"
+"11","lupin","0.727318137181301","0.876202300291609"
+"12","BUT","0.648403186454008","0.849955949158946"
+"13","LfB","0.576412230664662","0.820242033234709"
+"14","NVDLMED","0.693609496433394","0.866562004652547"
+"15","LS Wang's Group","0.705396615202733","0.846508580003025"
+"16","UBIlearn","0.673927283568233","0.843196895204652"
+"17","whale","0.700328976580838","0.881124000809187"
+"18","RegionTec","0.339042067506654","0.636296720484507"
+"19","A-REUMI01","0.674959761593996","0.856925551654418"
+"20","MEDIAN","0.691128226582776","0.856925551654418"
diff --git a/mean-values-per-subtask/subtask-means-1-nsd-Brain.csv b/mean-values-per-subtask/subtask-means-1-nsd-Brain.csv
new file mode 100644
index 0000000..02095e2
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-nsd-Brain.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Edema","Non-enhancing tumor","Enhancing tumor"
+"1","BCVuniandes","0.876653468897338","0.688397731410256","0.883866217754011"
+"2","K.A.V.athlon","0.878019529353612","0.725347236350427","0.895038045668449"
+"3","CerebriuDIKU","0.88245094365019","0.689842324950855","0.889003906256684"
+"4","EdwardMa12593","0.58127070634981","0.108446141280342","0.382328469481283"
+"5","MIMI","0.878746445513308","0.695561397910256","0.892843404224599"
+"6","VST","0.781931956646388","0.541507297358974","0.821774519547754"
+"7","AI-MED","0.827820628973384","0.619039622824359","0.853293575668449"
+"8","nnU-Net","0.872294613247148","0.733074094120256","0.90576515231016"
+"9","jiafucang","0.623830545311787","0.368085932023077","0.561290533106952"
+"10","Lesswire1","0.808700155794677","0.680150944526923","0.844217385368984"
+"11","lupin","0.883539691444867","0.680606345350427","0.894429362566845"
+"12","BUT","0.858133023765209","0.588286583803419","0.843180914138588"
+"13","LfB","0.825177788882129","0.681200168021368","0.804253421887701"
+"14","NVDLMED","0.869890693897338","0.697654904346154","0.898169673823529"
+"15","LS Wang's Group","0.868311448403042","0.69825163191453","0.872714542994652"
+"16","UBIlearn","0.845177200885932","0.625993943423077","0.845404307737968"
+"17","whale","0.851473704410646","0.539554701264872","0.550465759770054"
+"18","RegionTec","0.672202346768061","0.616157049042735","0.819583858181818"
+"19","A-REUMI01","0.841581169771863","0.637933632709402","0.845102731149733"
+"20","MEDIAN","0.851473704410646","0.680150944526923","0.845404307737968"
diff --git a/mean-values-per-subtask/subtask-means-1-nsd-Heart.csv b/mean-values-per-subtask/subtask-means-1-nsd-Heart.csv
new file mode 100644
index 0000000..b0fbbb5
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-nsd-Heart.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Left atrium"
+"1","BCVuniandes","0.832903104"
+"2","K.A.V.athlon","0.946191302"
+"3","CerebriuDIKU","0.906326881"
+"4","EdwardMa12593","0.703785059"
+"5","MIMI","0.924471594"
+"6","VST","0.919312893"
+"7","AI-MED","0.748957023"
+"8","nnU-Net","0.958998486"
+"9","jiafucang","0.91426062"
+"10","Lesswire1","0.734367127"
+"11","lupin","0.968366516"
+"12","BUT","0.793587764"
+"13","LfB","0.93030733"
+"14","NVDLMED","0.955672267"
+"15","LS Wang's Group","0.91998922"
+"16","UBIlearn","0.938898392"
+"17","whale","0.908325174"
+"18","RegionTec","0.6773874856"
+"19","A-REUMI01","0.905568501"
+"20","MEDIAN","0.91426062"
diff --git a/mean-values-per-subtask/subtask-means-1-nsd-Hippocampus.csv b/mean-values-per-subtask/subtask-means-1-nsd-Hippocampus.csv
new file mode 100644
index 0000000..6e51a5d
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-nsd-Hippocampus.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Anterior","Posterior"
+"1","BCVuniandes","0.965025090461539","0.967701867384615"
+"2","K.A.V.athlon","0.975959952923077","0.974672007307692"
+"3","CerebriuDIKU","0.974154903846154","0.974187134846154"
+"4","EdwardMa12593","0.942018952769231","0.965679456461538"
+"5","MIMI","0.968759020769231","0.969784095384615"
+"6","VST","0.920898668230769","0.963775972076923"
+"7","AI-MED","0.903413998769231","0.735295425461538"
+"8","nnU-Net","0.979617380461538","0.978749087384615"
+"9","jiafucang","0.966147005923077","0.965153907230769"
+"10","Lesswire1","0.885119369153846","0.894077669846154"
+"11","lupin","0.977195736769231","0.977142923538462"
+"12","BUT","0.890593919461538","0.925387864923077"
+"13","LfB","0.801448139615385","0.925485654692308"
+"14","NVDLMED","0.960718210230769","0.965925105769231"
+"15","LS Wang's Group","0.977483206846154","0.974270912"
+"16","UBIlearn","0.970622720076923","0.961674027923077"
+"17","whale","0.930377725846154","0.947348989769231"
+"18","RegionTec","0.722326627538462","0.762673198692308"
+"19","A-REUMI01","0.958858946615385","0.961327346230769"
+"20","MEDIAN","0.960718210230769","0.965153907230769"
diff --git a/mean-values-per-subtask/subtask-means-1-nsd-Liver.csv b/mean-values-per-subtask/subtask-means-1-nsd-Liver.csv
new file mode 100644
index 0000000..9fb620f
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-nsd-Liver.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Liver","Liver tumor"
+"1","BCVuniandes","0.914709528666667","0.628328851344828"
+"2","K.A.V.athlon","0.979310273333333","0.790426815344828"
+"3","CerebriuDIKU","0.966813828","0.725959087517241"
+"4","EdwardMa12593","0.852077276716667","0.247726497802241"
+"5","MIMI","0.965872604666667","0.739331716931034"
+"6","VST","0.960837498666667","0.658995923112069"
+"7","AI-MED","0.915237892666667","0.595631336758621"
+"8","nnU-Net","0.9805576085","0.883975906206897"
+"9","jiafucang","0.9241709985","0.432026576827586"
+"10","Lesswire1","0.886448579333333","0.663085381672414"
+"11","lupin","0.983232158833333","0.774084984517241"
+"12","BUT","0.968351025833333","0.730026701086207"
+"13","LfB","0.875850821","0.531331746308621"
+"14","NVDLMED","0.982593821166667","0.871574729827586"
+"15","LS Wang's Group","0.979118396666667","0.724488995551724"
+"16","UBIlearn","0.971914941833333","0.619946503015517"
+"17","whale","0.982150046666667","0.805653234"
+"18","RegionTec","0.955466219","0.46217888787931"
+"19","A-REUMI01","0.9365308545","0.561829556775862"
+"20","MEDIAN","0.965872604666667","0.663085381672414"
diff --git a/mean-values-per-subtask/subtask-means-1-nsd-Lung.csv b/mean-values-per-subtask/subtask-means-1-nsd-Lung.csv
new file mode 100644
index 0000000..92afab1
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-nsd-Lung.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Lung tumor"
+"1","BCVuniandes","0.41760782259375"
+"2","K.A.V.athlon","0.639543370640625"
+"3","CerebriuDIKU","0.560986026"
+"4","EdwardMa12593","0.029774106021875"
+"5","MIMI","0.557035256875"
+"6","VST","0.4792598653125"
+"7","AI-MED","0.16806724139375"
+"8","nnU-Net","0.6913083884375"
+"9","jiafucang","0.537250036875"
+"10","Lesswire1","0.21868043576125"
+"11","lupin","0.5537718174375"
+"12","BUT","0.3718340045"
+"13","LfB","0.3881216511875"
+"14","NVDLMED","0.50233344775"
+"15","LS Wang's Group","0.5559748898625"
+"16","UBIlearn","0.50115671209375"
+"17","whale","0.5132249231875"
+"18","RegionTec","0"
+"19","A-REUMI01","0.44000903329375"
+"20","MEDIAN","0.50115671209375"
diff --git a/mean-values-per-subtask/subtask-means-1-nsd-Pancreas.csv b/mean-values-per-subtask/subtask-means-1-nsd-Pancreas.csv
new file mode 100644
index 0000000..5f4c4b0
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-nsd-Pancreas.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Pancreas","Tumor mass"
+"1","BCVuniandes","0.847201328489209","0.32926664478705"
+"2","K.A.V.athlon","0.924922665251799","0.656107752517986"
+"3","CerebriuDIKU","0.915726754791367","0.464319870848921"
+"4","EdwardMa12593","0.741788955395683","0.0191223434059712"
+"5","MIMI","0.88793101352518","0.450237921513669"
+"6","VST","0.92408045057554","0.623620931948201"
+"7","AI-MED","0.74880443381295","0.181422975953237"
+"8","nnU-Net","0.953745338273381","0.727786407273381"
+"9","jiafucang","0.726336431366907","0.370642356604317"
+"10","Lesswire1","0.857385888705036","0.255996563726619"
+"11","lupin","0.945002262877698","0.367223476242446"
+"12","BUT","0.92023856028777","0.383695876057554"
+"13","LfB","0.793974310935252","0.461781834988489"
+"14","NVDLMED","0.95224451323741","0.571284762791367"
+"15","LS Wang's Group","0.914460454172662","0.476234902067626"
+"16","UBIlearn","0.897084987985612","0.32508366794964"
+"17","whale","0.894385544316547","0.431257232848921"
+"18","RegionTec","0.866130604964029","0.229052085508633"
+"19","A-REUMI01","0.869334702086331","0.397530219171223"
+"20","MEDIAN","0.894385544316547","0.397530219171223"
diff --git a/mean-values-per-subtask/subtask-means-1-nsd-Prostate.csv b/mean-values-per-subtask/subtask-means-1-nsd-Prostate.csv
new file mode 100644
index 0000000..993c8b0
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-1-nsd-Prostate.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Prostate PZ","Prostate TZ"
+"1","BCVuniandes","0.937004847333333","0.9821230275"
+"2","K.A.V.athlon","0.947744100666667","0.984779593125"
+"3","CerebriuDIKU","0.947174166","0.978952535625"
+"4","EdwardMa12593","0.790181035333333","0.929474969375"
+"5","MIMI","0.935796231333333","0.97564424625"
+"6","VST","0.932307170666667","0.971686436875"
+"7","AI-MED","0.851647088666667","0.868857005625"
+"8","nnU-Net","0.958004754666667","0.98900339875"
+"9","jiafucang","0.936568701333333","0.97707783"
+"10","Lesswire1","0.863052607333333","0.918879911875"
+"11","lupin","0.941505475333333","0.9824230225"
+"12","BUT","0.923627292666667","0.969402296875"
+"13","LfB","0.88597159","0.956505919375"
+"14","NVDLMED","0.929605997333333","0.974541841875"
+"15","LS Wang's Group","0.955747709333333","0.981828133125"
+"16","UBIlearn","0.926402354666667","0.961388758125"
+"17","whale","0.952645205333333","0.9843436525"
+"18","RegionTec","0.719464698666667","0.7793082725"
+"19","A-REUMI01","0.932216692","0.97849405375"
+"20","MEDIAN","0.932307170666667","0.97564424625"
diff --git a/mean-values-per-subtask/subtask-means-2-dsc-Colon.csv b/mean-values-per-subtask/subtask-means-2-dsc-Colon.csv
new file mode 100644
index 0000000..6f6e110
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-2-dsc-Colon.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Colon cancer primaries"
+"1","RegionTec","0.0578411375240613"
+"2","A-REUMI01","0.123130084265503"
+"3","BCVuniandes","0.0596184665300491"
+"4","K.A.V.athlon","0.359628202603605"
+"5","CerebriuDIKU","0.275826104793603"
+"6","EdwardMa12593","0.0587021276629235"
+"7","MIMI","0.292134192231152"
+"8","VST","0.147608472071881"
+"9","AI-MED","0.113610240877044"
+"10","nnU-Net","0.561759039884291"
+"11","jiafucang","0.193564627925165"
+"12","Lesswire1","0.098731288878405"
+"13","lupin","0.0897387055453758"
+"14","BUT","0.0475849895022379"
+"15","LfB","0.244872201100626"
+"16","NVDLMED","0.556278032382331"
+"17","LS Wang's Group","0.411375873826573"
+"18","UBIlearn","0.160251137917516"
+"19","whale","0.184915036922504"
+"20","MEDIAN","0.160251137917516"
diff --git a/mean-values-per-subtask/subtask-means-2-dsc-Hepatic Vessel.csv b/mean-values-per-subtask/subtask-means-2-dsc-Hepatic Vessel.csv
new file mode 100644
index 0000000..bf6e531
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-2-dsc-Hepatic Vessel.csv	
@@ -0,0 +1,21 @@
+"","Algorithm","Hepatic vessel","Hepatic tumor"
+"1","RegionTec","0.415031657960438","0.19634544552372"
+"2","A-REUMI01","0.55980296087656","0.390464282901866"
+"3","BCVuniandes","0.141528674141921","0.316459836106817"
+"4","K.A.V.athlon","0.615501013273923","0.625043226775838"
+"5","CerebriuDIKU","0.586357133100192","0.378658098661583"
+"6","EdwardMa12593","0.137867985390375","0.112892945423496"
+"7","MIMI","0.595418182277473","0.563640988121083"
+"8","VST","0.443680759179144","0.364209999807244"
+"9","AI-MED","0.420117165445152","0.262897430733"
+"10","nnU-Net","0.634284910984948","0.6936912554196"
+"11","jiafucang","0.512091307580218","0.366381586089664"
+"12","Lesswire1","0.444617720854457","0.311901333883968"
+"13","lupin","0.596095617085342","0.46847658506958"
+"14","BUT","0.43620463616328","0.389918710631019"
+"15","LfB","0.546255403257599","0.349089477114855"
+"16","NVDLMED","0.631862387487619","0.638566560748181"
+"17","LS Wang's Group","0.550277845283077","0.642881008119002"
+"18","UBIlearn","0.588736550141139","0.369827890317134"
+"19","whale","0.559978382594477","0.462720425082442"
+"20","MEDIAN","0.550277845283077","0.378658098661583"
diff --git a/mean-values-per-subtask/subtask-means-2-dsc-Spleen.csv b/mean-values-per-subtask/subtask-means-2-dsc-Spleen.csv
new file mode 100644
index 0000000..4517881
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-2-dsc-Spleen.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Spleen"
+"1","RegionTec","0.917970199377147"
+"2","A-REUMI01","0.921163526861288"
+"3","BCVuniandes","0.817974220851485"
+"4","K.A.V.athlon","0.966959876284592"
+"5","CerebriuDIKU","0.950278245852066"
+"6","EdwardMa12593","0.828230280825069"
+"7","MIMI","0.936655387974706"
+"8","VST","0.940288650847008"
+"9","AI-MED","0.909062780241172"
+"10","nnU-Net","0.964560549586375"
+"11","jiafucang","0.931112870916467"
+"12","Lesswire1","0.858469635351281"
+"13","lupin","0.938341283982967"
+"14","BUT","0.889571042473746"
+"15","LfB","0.833782839499336"
+"16","NVDLMED","0.960123888373051"
+"17","LS Wang's Group","0.959127098521191"
+"18","UBIlearn","0.95355685814031"
+"19","whale","0.95061409477288"
+"20","MEDIAN","0.936655387974706"
diff --git a/mean-values-per-subtask/subtask-means-2-nsd-Colon.csv b/mean-values-per-subtask/subtask-means-2-nsd-Colon.csv
new file mode 100644
index 0000000..7cc1143
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-2-nsd-Colon.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Colon cancer primaries"
+"1","RegionTec","0.100572091453125"
+"2","A-REUMI01","0.212591290489063"
+"3","BCVuniandes","0.160203628823437"
+"4","K.A.V.athlon","0.4694604056875"
+"5","CerebriuDIKU","0.42697191321875"
+"6","EdwardMa12593","0.116875777559844"
+"7","MIMI","0.37567549578125"
+"8","VST","0.22482199875"
+"9","AI-MED","0.261475330071875"
+"10","nnU-Net","0.677503249375"
+"11","jiafucang","0.26049520109375"
+"12","Lesswire1","0.25838394446875"
+"13","lupin","0.15936475821875"
+"14","BUT","0.099086080515625"
+"15","LfB","0.318248284662031"
+"16","NVDLMED","0.6646559528125"
+"17","LS Wang's Group","0.514165278370312"
+"18","UBIlearn","0.24617573646875"
+"19","whale","0.288553365921875"
+"20","MEDIAN","0.26049520109375"
diff --git a/mean-values-per-subtask/subtask-means-2-nsd-Hepatic Vessel.csv b/mean-values-per-subtask/subtask-means-2-nsd-Hepatic Vessel.csv
new file mode 100644
index 0000000..4f96c94
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-2-nsd-Hepatic Vessel.csv	
@@ -0,0 +1,21 @@
+"","Algorithm","Hepatic vessel","Hepatic tumor"
+"1","RegionTec","0.692928272014388","0.21708552267482"
+"2","A-REUMI01","0.785458691582734","0.460461862064748"
+"3","BCVuniandes","0.454757070863309","0.361091184784173"
+"4","K.A.V.athlon","0.830482663309352","0.723187912719425"
+"5","CerebriuDIKU","0.788976978273381","0.435773481748201"
+"6","EdwardMa12593","0.308723612093525","0.117505978061151"
+"7","MIMI","0.787901933798058","0.636773553899281"
+"8","VST","0.583488984172662","0.393588163802158"
+"9","AI-MED","0.648260151726619","0.328216902453237"
+"10","nnU-Net","0.833917118273381","0.787933681151079"
+"11","jiafucang","0.731884544172662","0.39401592049482"
+"12","Lesswire1","0.730946175827338","0.282113350897122"
+"13","lupin","0.813059096402878","0.540830045431655"
+"14","BUT","0.653895319960432","0.44634467048705"
+"15","LfB","0.792249091510791","0.373029778125597"
+"16","NVDLMED","0.833257386906475","0.720113074244604"
+"17","LS Wang's Group","0.766407829014389","0.729695241151079"
+"18","UBIlearn","0.798064194172662","0.421440834388489"
+"19","whale","0.80338932618705","0.570740129136691"
+"20","MEDIAN","0.785458691582734","0.435773481748201"
diff --git a/mean-values-per-subtask/subtask-means-2-nsd-Spleen.csv b/mean-values-per-subtask/subtask-means-2-nsd-Spleen.csv
new file mode 100644
index 0000000..d588391
--- /dev/null
+++ b/mean-values-per-subtask/subtask-means-2-nsd-Spleen.csv
@@ -0,0 +1,21 @@
+"","Algorithm","Spleen"
+"1","RegionTec","0.9504758005"
+"2","A-REUMI01","0.951988506"
+"3","BCVuniandes","0.934347853"
+"4","K.A.V.athlon","0.995423693"
+"5","CerebriuDIKU","0.9793222365"
+"6","EdwardMa12593","0.881609317"
+"7","MIMI","0.9665569925"
+"8","VST","0.9729269675"
+"9","AI-MED","0.9266372585"
+"10","nnU-Net","0.994304623"
+"11","jiafucang","0.981931997"
+"12","Lesswire1","0.904132299"
+"13","lupin","0.982371122"
+"14","BUT","0.9501861975"
+"15","LfB","0.88153144"
+"16","NVDLMED","0.997207709"
+"17","LS Wang's Group","0.993493029"
+"18","UBIlearn","0.9846739015"
+"19","whale","0.9910996425"
+"20","MEDIAN","0.9729269675"
diff --git a/msd-mean-values.R b/msd-mean-values.R
new file mode 100644
index 0000000..63eea78
--- /dev/null
+++ b/msd-mean-values.R
@@ -0,0 +1,68 @@
+library(rstudioapi)
+current_path = rstudioapi::getActiveDocumentContext()$path
+setwd(dirname(current_path))
+
+library(dplyr)
+source("msd-prepare-data.R")
+
+###########################
+# Define functions
+###########################
+
+compute_means <- function(data, phase, metric) {
+  algorithms <- unique(data$alg_name)
+  
+  # Get all tasks of the current phase
+  tasks <- unique(data$task)
+  
+  for(t in tasks) {
+    statistics <- data.frame(Algorithm = algorithms)
+    
+    # Get the corresponding subtasks
+    subtasks <- unique(subset(data, task == t)$subtask)
+    for(s in subtasks) {
+      data_subtask <- subset(data, subtask == s)
+      
+      # Compute mean for every algorithm and sort result 
+      meanValues <- tapply(data_subtask$value, data_subtask$alg_name, mean)
+      meanValues <- data.frame(Algorithm=names(meanValues), mean=meanValues)
+      meanValues <- meanValues[match(algorithms, meanValues$Algorithm), ]
+      
+      statistics <- cbind(statistics, meanValues$mean)
+      colnames(statistics)[ncol(statistics)] <- s
+    }
+    
+    if(length(subtasks) > 1) {
+      median <- apply(statistics[,2:ncol(statistics)],2,median)
+    } else {
+      median <- median(statistics[,2])
+    }
+    
+    statistics <- rbind(statistics, c("MEDIAN", median))
+    
+    title <- paste(rbind("mean-values-per-subtask/subtask-means-", 
+                         phase, "-", metric, "-", t, ".csv"), collapse = '')
+    write.csv(statistics, title)
+  }
+}
+
+###########################
+# Read and prepare challenge data
+###########################
+
+msd_data_matrix <- prepare_data()
+
+# Prepare data subsets for each metric and phase
+dataDSCph1= msd_data_matrix %>% subset(score=="DSC" & phase==1)
+dataNSDph1= msd_data_matrix %>% subset(score=="NSD" & phase==1)
+dataDSCph2= msd_data_matrix %>% subset(score=="DSC" & phase==2)
+dataNSDph2= msd_data_matrix %>% subset(score=="NSD" & phase==2)
+
+###########################
+# Compute mean values
+###########################
+
+compute_means(dataDSCph1, "1", "dsc")
+compute_means(dataNSDph1, "1", "nsd")
+compute_means(dataDSCph2, "2", "dsc")
+compute_means(dataNSDph2, "2", "nsd")