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Fig. 2 | Diagnostic Pathology

Fig. 2

From: Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images

Fig. 2

Annotation of patches with seed labels and generation of per-pixel training data. A. Examples of CD3+, CD4+, CD8+ and CD20+ lymphocytes, CD16+ myeloid cells and B. K17+ PDAC tumor cells with seed labels overlaid (+). C. Number of seed labels for each cell class, across all patches used for training. D. Input image; input image with seed labels overlaid; superpixel map generated based on the input image with superpixels containing different seed labels colored accordingly; and the superpixel labels used to train the models (based on seed labels and superpixel map)

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