Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis
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Purpose: Deep learning (DL), a class of approaches involving self-learned discriminative features, is increasingly being applied to digital pathology (DP) images for tasks such as disease identification and segmentation of tissue... ...