Multi-Classification of Breast Cancer Lesions in Histopathological Images Using DEEP_Pachi: Multiple...
Multi-Classification of Breast Cancer Lesions in Histopathological Images Using DEEP_Pachi: Multiple Self-Attention Head
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Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Despite fast developments in the medical field, histological diagnosis is still regarded as the benchmark in cancer diagnosis. However, the input image feature extraction that is used to determine the severity of cancer at various magnifications is harrowing since manual procedures are biased, time consuming, labor intensive, and error-prone. Curre...
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Multi-Classification of Breast Cancer Lesions in Histopathological Images Using DEEP_Pachi: Multiple Self-Attention Head
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TN_cdi_doaj_primary_oai_doaj_org_article_74eafaa42a824e1494d98412802d5777
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_74eafaa42a824e1494d98412802d5777
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ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics12051152
