BreaST-Net: Multi-Class Classification of Breast Cancer from Histopathological Images Using Ensemble...
BreaST-Net: Multi-Class Classification of Breast Cancer from Histopathological Images Using Ensemble of Swin Transformers
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Breast cancer (BC) is one of the deadly forms of cancer, causing mortality worldwide in the female population. The standard imaging procedures for screening BC involve mammography and ultrasonography. However, these imaging procedures cannot differentiate subtypes of benign and malignant cancers. Here, histopathology images could provide better sen...
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Full title
BreaST-Net: Multi-Class Classification of Breast Cancer from Histopathological Images Using Ensemble of Swin Transformers
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TN_cdi_doaj_primary_oai_doaj_org_article_9a976a2a7cff40f18fd1625a3db2b798
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9a976a2a7cff40f18fd1625a3db2b798
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math10214109
