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Fig. 3 | Journal of Translational Medicine

Fig. 3

From: An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancer

Fig. 3

Examples of manual annotation and automatic tissue segmentation. a Manual annotation by pathologists. b Heatmaps generated by the PAIDM. c Masks predicted by the PAIDM. PAIDM  pathological artificial intelligence diagnostic model, HGMI  high-grade muscle invasion, HGNMI  high-grade non-muscle invasion, LGNMI  low-grade non-muscle invasion, IA illegible area, NIA  normal interstitial area, NA  noise area

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Journal of Translational Medicine

ISSN: 1479-5876

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