Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation
Deep learning has been widely used to analyze digitized hematoxylin and eosin (H&E)-stained histopathology whole slide images. Automated cancer segmentation using deep learning can be used to diagnose malignancy and to find novel morphological patterns to predict molecular subtypes. To train pix...
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| Main Authors: | , , , , , , , |
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| Format: | Book |
| Published: |
Elsevier,
2023-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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