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Deep learning-based survival prediction for multiple cancer types using histopathology images

Fig 4

Visualization of image patches influencing survival prediction.

(A) Example of WSI kidney renal clear cell carcinoma (KIRC) predicted to be high risk (left), with the DLS-predicted “risk heatmap” on the right; red patches correspond to “high-risk” and blue patches to “low-risk” patch-level predictions (Methods). (B) “Highest-risk” patches from cases predicted to be high-risk. (C) “Lowest-risk” patches from cases predicted to be low-risk. (D) “Lowest-risk” patches from cases predicted to be high-risk. For B, C, and D, patches in the same row are from the same case and each row represents a different case.

Fig 4

doi: https://doi.org/10.1371/journal.pone.0233678.g004