Exploring prognostic biomarkers in pathological images of colorectal cancer patients via deep learning
Abstract Hematoxylin and eosin (H&E) whole slide images provide valuable information for predicting prognostic outcomes in colorectal cancer (CRC) patients. However, extracting prognostic indicators from pathological images is challenging due to the subtle complexities of phenotypic information....
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| Main Authors: | , , , , , |
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| Format: | Book |
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Wiley,
2024-11-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |