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Fig. 4 | Cancer Imaging

Fig. 4

From: Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study

Fig. 4

Saliency maps of sample screen-detected and interval images (both correctly classified). For each row, the pseudo-presentation images are shown (left) along with the saliency map (middle) that highlights the pixels that had above a 50% weight in classifying the image in its respective category (i.e. first row saliency map highlights weights that push towards decision of classifying as screen-detected decision). At right, the images are overlaid

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