Question About Organ Attribution in the PUMA Dataset

Question About Organ Attribution in the PUMA Dataset  

  By: aia_wt on March 27, 2025, 1:24 p.m.

Hello,

Thank you for organizing the PUMA challenge and providing this dataset. I have a question regarding the organ attribution of the samples. The paper mentions that the data comes from different organs, such as bone, liver, lung, and brain. However, there is no clear indication in the file names or labels specifying which sample belongs to which organ.

Could you clarify how we can determine the organ source for each sample? Is there any additional metadata available, or another way to obtain this information?

I appreciate your help!

Best regards, Tong

Re: Question About Organ Attribution in the PUMA Dataset  

  By: mschuiveling on March 31, 2025, 12:45 p.m.

Dear Tong Wang,

Is this helpful:

  • 'training_set_metastatic_roi_001': 'soft tissue',
  • 'training_set_metastatic_roi_002': 'soft tissue',
  • 'training_set_metastatic_roi_003': 'lymph node',
  • 'training_set_metastatic_roi_004': 'skin',
  • 'training_set_metastatic_roi_005': 'soft tissue',
  • 'training_set_metastatic_roi_006': 'soft tissue',
  • 'training_set_metastatic_roi_007': 'brain',
  • 'training_set_metastatic_roi_008': 'lung',
  • 'training_set_metastatic_roi_009': 'brain',
  • 'training_set_metastatic_roi_010': 'soft tissue',
  • 'training_set_metastatic_roi_011': 'brain',
  • 'training_set_metastatic_roi_012': 'brain',
  • 'training_set_metastatic_roi_013': 'skin',
  • 'training_set_metastatic_roi_014': 'skin',
  • 'training_set_metastatic_roi_015': 'lymph node',
  • 'training_set_metastatic_roi_016': 'soft tissue',
  • 'training_set_metastatic_roi_017': 'lymph node',
  • 'training_set_metastatic_roi_018': 'brain',
  • 'training_set_metastatic_roi_019': 'soft tissue',
  • 'training_set_metastatic_roi_020': 'lymph node',
  • 'training_set_metastatic_roi_021': 'gastrointestinal tract',
  • 'training_set_metastatic_roi_022': 'brain',
  • 'training_set_metastatic_roi_023': 'lymph node',
  • 'training_set_metastatic_roi_024': 'liver',
  • 'training_set_metastatic_roi_025': 'lymph node',
  • 'training_set_metastatic_roi_026': 'soft tissue',
  • 'training_set_metastatic_roi_027': 'skin',
  • 'training_set_metastatic_roi_028': 'brain',
  • 'training_set_metastatic_roi_029': 'soft tissue',
  • 'training_set_metastatic_roi_030': 'lymph node',
  • 'training_set_metastatic_roi_031': 'lung',
  • 'training_set_metastatic_roi_032': 'lymph node',
  • 'training_set_metastatic_roi_033': 'brain',
  • 'training_set_metastatic_roi_034': 'skin',
  • 'training_set_metastatic_roi_035': 'liver',
  • 'training_set_metastatic_roi_036': 'lymph node',
  • 'training_set_metastatic_roi_037': 'gastrointestinal tract',
  • 'training_set_metastatic_roi_038': 'liver',
  • 'training_set_metastatic_roi_039': 'lymph node',
  • 'training_set_metastatic_roi_040': 'brain',
  • 'training_set_metastatic_roi_041': 'bone',
  • 'training_set_metastatic_roi_042': 'soft tissue',
  • 'training_set_metastatic_roi_043': 'skin',
  • 'training_set_metastatic_roi_044': 'lymph node',
  • 'training_set_metastatic_roi_045': 'liver',
  • 'training_set_metastatic_roi_046': 'skin',
  • 'training_set_metastatic_roi_047': 'soft tissue',
  • 'training_set_metastatic_roi_048': 'lymph node',
  • 'training_set_metastatic_roi_049': 'liver',
  • 'training_set_metastatic_roi_050': 'lymph node',
  • 'training_set_metastatic_roi_051': 'lung',
  • 'training_set_metastatic_roi_052': 'brain',
  • 'training_set_metastatic_roi_053': 'lymph node',
  • 'training_set_metastatic_roi_054': 'brain',
  • 'training_set_metastatic_roi_055': 'lymph node',
  • 'training_set_metastatic_roi_056': 'gastrointestinal tract',
  • 'training_set_metastatic_roi_057': 'lung',
  • 'training_set_metastatic_roi_058': 'liver',
  • 'training_set_metastatic_roi_059': 'liver',
  • 'training_set_metastatic_roi_060': 'gastrointestinal tract',
  • 'training_set_metastatic_roi_061': 'gastrointestinal tract',
  • 'training_set_metastatic_roi_062': 'skin',
  • 'training_set_metastatic_roi_063': 'skin',
  • 'training_set_metastatic_roi_064': 'gastrointestinal tract',
  • 'training_set_metastatic_roi_065': 'brain',
  • 'training_set_metastatic_roi_066': 'skin',
  • 'training_set_metastatic_roi_067': 'lymph node',
  • 'training_set_metastatic_roi_068': 'soft tissue',
  • 'training_set_metastatic_roi_069': 'liver',
  • 'training_set_metastatic_roi_070': 'gastrointestinal tract',
  • 'training_set_metastatic_roi_071': 'lymph node',
  • 'training_set_metastatic_roi_072': 'gastrointestinal tract',
  • 'training_set_metastatic_roi_073': 'brain',
  • 'training_set_metastatic_roi_074': 'bone',
  • 'training_set_metastatic_roi_075': 'soft tissue',
  • 'training_set_metastatic_roi_076': 'lung',
  • 'training_set_metastatic_roi_077': 'skin',
  • 'training_set_metastatic_roi_078': 'liver',
  • 'training_set_metastatic_roi_079': 'skin',
  • 'training_set_metastatic_roi_080': 'lymph node',
  • 'training_set_metastatic_roi_081': 'soft tissue',
  • 'training_set_metastatic_roi_082': 'liver',
  • 'training_set_metastatic_roi_083': 'skin',
  • 'training_set_metastatic_roi_084': 'skin',
  • 'training_set_metastatic_roi_085': 'lung',
  • 'training_set_metastatic_roi_086': 'lymph node',
  • 'training_set_metastatic_roi_087': 'skin',
  • 'training_set_metastatic_roi_088': 'lymph node',
  • 'training_set_metastatic_roi_089': 'liver',
  • 'training_set_metastatic_roi_090': 'liver',
  • 'training_set_metastatic_roi_091': 'lung',
  • 'training_set_metastatic_roi_092': 'skin',
  • 'training_set_metastatic_roi_093': 'skin',
  • 'training_set_metastatic_roi_094': 'skin',
  • 'training_set_metastatic_roi_095': 'skin',
  • 'training_set_metastatic_roi_096': 'skin',
  • 'training_set_metastatic_roi_097': 'skin',
  • 'training_set_metastatic_roi_098': 'lung',
  • 'training_set_metastatic_roi_099': 'soft tissue',
  • 'training_set_metastatic_roi_100': 'liver',
  • 'training_set_metastatic_roi_101': 'soft tissue',
  • 'training_set_metastatic_roi_102': 'skin',
  • 'training_set_metastatic_roi_103': 'skin',

What kind of other metadata would you like to have?

Kind regards, Mark