Weakly-supervised deep learning model for prostate cancer diagnosis and Gleason grading of histopathology images
Prostate cancer is the most common cancer in men worldwide and the second leading cause of cancer death in the United States. One of the prognostic features in prostate cancer is the Gleason grading of histopathology images. The Gleason grade is assigned based on tumor architecture on Hematoxylin an...
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| Published in: | Biomedical signal processing and control Vol. 95; p. 106351 |
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| Main Authors: | , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.09.2024
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| Subjects: | |
| ISSN: | 1746-8094, 1746-8108 |
| Online Access: | Get full text |
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