Work

BALANCE: Interpretable breast cancer classification via dual-granularity attention with latent prototype alignment

Year: 2025

Type: article

Source: Expert Systems with Applications

DOI: 10.1016/j.eswa.2025.131030

Authors: Jiati Cai, Yuxun Zhao, Haohan Zhang, Yuxin Tong, Junren Wang, Kunpeng Zhang, Fan Zhou, Jin Yin, Jing Jing

Institutions: University of Electronic Science and Technology of China, Sichuan University, West China Hospital of Sichuan University, University of Maryland, College Park, Shihezi University

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Natural Science Foundation of China

OpenAlex ID: W7117772070

FWCI: 1.237

Cites: 52

Cited by: 3

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