Enhanced hierarchical attention mechanism for mixed MIL in automatic Gleason grading and scoring
Abstract Segmenting histological images and analyzing relevant regions are crucial for supporting pathologists in diagnosing various diseases. In prostate cancer diagnosis, Gleason grading and scoring relies on the recognition of different patterns in tissue samples. However, annotating large histol...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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Nature Portfolio
2025-05-01
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| Serie: | Scientific Reports |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1038/s41598-025-00048-9 |
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