Enhanced hierarchical attention mechanism for mixed MIL in automatic Gleason grading and scoring
Enhanced hierarchical attention mechanism for mixed MIL in automatic Gleason grading and scoring
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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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 histological datasets is laborious, expensive, and often limited...
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Enhanced hierarchical attention mechanism for mixed MIL in automatic Gleason grading and scoring
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TN_cdi_doaj_primary_oai_doaj_org_article_05d2f4c01306429280510ddf4bbc63d1
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_05d2f4c01306429280510ddf4bbc63d1
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-00048-9
