Histopathological classification of colorectal cancer based on domain-specific transfer learning and multi-model feature fusion

Abstract Colorectal cancer (CRC) poses a significant global health burden, where early and accurate diagnosis is vital to improving patient outcomes. However, the structural complexity of CRC histopathological images renders manual analysis time-consuming and error-prone. This study aims to develop...

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Auteurs principaux:	Qi Ke, Yan Chai Hum, Wun-She Yap, Tian Swee Tan, Humaira Nisar, Hamam Mokayed, AiQuan Li, Rong Gao, YuJian Gan
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-10-01
Collection:	Scientific Reports
Sujets:	Histopathological classification Colorectal cancer Transfer learning Domain-specific models Feature fusion
Accès en ligne:	https://doi.org/10.1038/s41598-025-19134-z
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