macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND.

Zhou, Zhiyong; Hong, Ben; Qian, Xusheng; Hu, Jisu; Shen, Minglei; Ji, Jiansong; Dai, Yakang

Zhou, Zhiyong; Hong, Ben; Qian, Xusheng; Hu, Jisu; Shen, Minglei; Ji, Jiansong; Dai, Yakang.

Afiliação

Zhou Z; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China.
Hong B; School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Suzhou, Jiangsu, China.
Qian X; School of Electronic and Optical Engineering, NanJing University of Science and Technology, Nanjing, Jiangsu, China.
Hu J; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China.
Shen M; School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Suzhou, Jiangsu, China.
Ji J; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China.
Dai Y; School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Suzhou, Jiangsu, China.

Biomed Eng Online ; 22(1): 91, 2023 Sep 19.

Article em En | MEDLINE | ID: mdl-37726780

Assuntos

Aprendizagem; Semântica; Tomografia Computadorizada por Raios X

Palavras-chave

Deformable registration; Image descriptor; Joint learning; Multimodal; Semi-supervised segmentation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Semântica / Aprendizagem Idioma: En Revista: Biomed Eng Online Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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