BC-SwinNet: Swin transformer and CNN with multi-objective optimization for multi-class breast cancer detection using Histopathological images

Abstract Breast cancer remains a major global health concern and is the leading cause of cancer-related deaths among women worldwide. It is estimated that by 2030, its incidence and mortality rates will rise due to population growth, aging, and lifestyle changes. Although histopathological examinati...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Mudassir Khan, Meteb Altaf, Nikhat Raza Khan, Haleema PK, Varun Malik, Alaa Menshawi, Tahani Alsubait, Riaz Ahmad Ziar, R. John Martin
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2026-05-01
Edice:	Scientific Reports
Témata:	Breast cancer diagnosis Histopathological image analysis Multi-class classification Deep learning Computer-aided diagnosis
On-line přístup:	https://doi.org/10.1038/s41598-026-51698-2
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!