3MT-Net: A Multi-modal Multi-task Model for Breast Cancer and Pathological Subtype Classification Based on a Multicenter Study

Breast cancer significantly impacts women's health, with ultrasound being crucial for lesion assessment. To enhance diagnostic accuracy, computer-aided detection (CAD) systems have attracted considerable interest. This study introduces a prospective deep learning architecture called "Multi...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2024-08, Vol.PP, p.1-12
Hauptverfasser:	Duan, Yaofei, Pang, Patrick Cheong-Iao, He, Ping, Wang, Rongsheng, Sun, Yue, Liu, Chuntao, Zhang, Xiaorong, Yuan, Xirong, Song, Pengjie, Lam, Chan-Tong, Cui, Ligang, Tan, Tao
Format:	Artikel
Sprache:	eng
Schlagworte:	Breast Breast cancer ensemble learning Feature extraction multi-task learning multimodal Multitasking Pathology Ultrasonic imaging ultrasound imaging Vectors
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