Pathology Expertise Acquisition Network (PEAN) and the Unique Dataset (IMAGE)
Caption
After training on pathologists’ slide-reviewing data, the PEAN model is capable of performing a multiclassification task and imitating the pathologists’ slide-reviewing behaviors (see Panel a). The data distribution of the training dataset, internal testing dataset and external testing dataset are illustrated in Panel b, and the color legend representing various diseases applies to Panels c and d. The total number of patients with different skin conditions in the dataset are listed in Panel c. The quantity of slide-reviewing operations performed by the different pathologists is illustrated in Panel d. The “Overlap” column includes the images listed for each pathologist. Panel e depicts regions of interest as heatmaps (second row) in which the pathologist’s gaze highly overlaps with the actual tumor tissue, marked in blue in the first row.
Credit
Tianhang Nan, Northeastern University, China
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