Extended Data Fig. 8: DeepLIIF results on DLBCL IHC markers. | Nature Machine Intelligence

Extended Data Fig. 8: DeepLIIF results on DLBCL IHC markers.

From: Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification

Extended Data Fig. 8: DeepLIIF results on DLBCL IHC markers.

Examples of tissues stained with various markers. The top box shows sample tissues stained with BCL2, BCL6, CD10, MYC, and MUM1 from DLBCL-morph dataset 24. The bottom box shows sample images stained with TP53 marker from the Human Protein Atlas 23. In each row, the first image on the left shows the original tissue stained with a specific marker. The quantification score computed by the classified segmentation mask generated by DeepLIIF is shown on the top of the whole tissue image, and the predicted score by pathologists is shown on the bottom. In the following images of each row, the modalities and the classified segmentation mask of a chosen crop from the original tissue are shown.

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