Fig. 2: Progression of algorithms’ performances throughout the competition. | Nature Medicine

Fig. 2: Progression of algorithms’ performances throughout the competition.

From: Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Fig. 2

During the competition, teams could submit their algorithm for evaluation on the tuning set, after which they received their score. At the same time, algorithms were evaluated on the internal validation set, without disclosing these results to the participating teams. a,b, The development of the top score obtained by any team (a) and the median score over all daily submissions (b) throughout the timeline of the competition showing the rapid improvement of the algorithms. c, A large fraction of teams reached high scores in the range 0.80–0.90, and retained their performance on the internal validation set.

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