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Identifying organs/tissue and pathology on radiological and microscopic images can be performed using convolutional neural networks (CNN). However, there are scant studies on applying CNN to post‐mortem gross images of visceral organs. This proof‐of‐concept study used 537 gross post‐mortem images of dissected brain, heart, lung, liver, spleen, and kidney, which were randomly divided into a training...
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