Deep learning and vision transformers-based framework for breast cancer and subtype identification

Deep learning and vision transformers-based framework for breast cancer and subtype identification

<p dir="ltr">Breast cancer, marked by uncontrolled cell growth in breast tissue, is the most common cancer among women and a second-leading cause of cancer-related deaths. Among its types, ductal and lobular carcinomas are the most prevalent, with invasive ductal carcinoma accounting...

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Bibliographic Details
Main Author: Ishrat Jahan (5782163) (author)
Other Authors: Muhammad E. H. Chowdhury (14150526) (author), Semir Vranic (3353012) (author), Rafif Mahmood Al Saady (22330120) (author), Saidul Kabir (15302407) (author), Zahid Hasan Pranto (22330123) (author), Sabiha Jahan Mim (22330126) (author), Sadia Farhana Nobi (21512813) (author)
Published: 2025
Subjects:
Biomedical and clinical sciences
Oncology and carcinogenesis
Health sciences
Health services and systems
Breast cancer
Histopathology image
Hematoxylin–eosin (H&E)
Ductal carcinoma
Lobular carcinoma
Deep learning
Vision Transformer
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