Results CAMELYON17 challenge

Peter Bandi and Oscar Geessink, organizers of CAMELYON17, challenged participants to move from individual metastases detection (CAMELYON16) to classification of lymph node status on a patient level. Over 300 participants registered on the challenge website, of which 23 teams submitted a total of 37 algorithms before the deadline. The algorithmic details of the top-twelve best submissions are discussed in the paper that was accepted for publication in IEEE Transactions on Medical Imaging last August. Read here which architecture and methodology led to the best results and what pushed the highest kappa value from 0.89 to 0.93.

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