Fig. 1: Overview of the PANDA challenge and study setup. | Nature Medicine

Fig. 1: Overview of the PANDA challenge and study setup.

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

Fig. 1

The global competition attracted participants from 65 countries (top: size of the circle for each country illustrates the number of participants). The study was split into two phases. First, in the development phase (bottom left), teams competed in building the best-performing Gleason grading algorithm, having full access to a development set for algorithm training and limited access to a tuning set for estimating algorithm performance. In the validation phase (bottom right), a selection of algorithms was independently evaluated on internal and external datasets against reference grading obtained through consensus across expert uropathologist panels, and compared with groups of international and US general pathologists on subsets of the data.

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