The Medical Segmentation Decathlon

International challenges have become the de facto standard for comparative assessment of image analysis algorithms. Although segmentation is the most widely investigated medical image processing task, the various challenges have been organized to focus only on specific clinical tasks. We organized the Medical Segmentation Decathlon (MSD)-a biomedical image analysis challenge, in which algorithms compete in a multitude of both tasks and modalities to investigate the hypothesis that a method capable of performing well on multiple tasks will generalize well to a previously unseen task and potentially outperform a custom-designed solution. MSD results confirmed this hypothesis, moreover, MSD winner continued…

• UR
  UK Research and Innovation
• NI
  National Institute for Health and Care Research
• NO
  Nederlandse Organisatie voor Wetenschappelijk Onderzoek
• KK
  KWF Kankerbestrijding
• SH
  Siemens Healthineers
• NI
  National Institutes of Health

  Awards: NINDS:R01NS042645, NCI:U01CA242871, U24CA189523, U01CA242871, NCI:U24CA189523, R01NS042645
• EA
  Engineering and Physical Sciences Research Council
• NC
  National Cancer Institute

  Awards: R01NS042645, U24CA189523, U01CA242871
• NI
  National Institute of Neurological Disorders and Stroke

  Awards: R01NS042645, NINDS:R01NS042645, U01CA242871, U24CA189523
• NC
  NIH Clinical Center