EDRL: Entropy-guided disentangled representation learning for unsupervised domain adaptation in semantic segmentation.

Wang, Runze; Zhou, Qin; Zheng, Guoyan

Wang, Runze; Zhou, Qin; Zheng, Guoyan.

Afiliación

Wang R; Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Shanghai, 200240, China.
Zhou Q; Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Shanghai, 200240, China.
Zheng G; Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Shanghai, 200240, China. Electronic address: guoyan.zheng@sjtu.edu.cn.

Comput Methods Programs Biomed ; 240: 107729, 2023 Oct.

Article en En | MEDLINE | ID: mdl-37531690

Asunto(s)

Corazón; Semántica; Entropía; Procesamiento de Imagen Asistido por Computador

Palabras clave

Disentangled representation learning; Entropy-based adversarial learning; Medical image segmentation; Unsupervised domain adaptation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Semántica / Corazón Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

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