Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition.

Wang, Jun; Zhang, Fengyexin; Jia, Xiuyi; Wang, Xin; Zhang, Han; Ying, Shihui; Wang, Qian; Shi, Jun; Shen, Dinggang

Wang, Jun; Zhang, Fengyexin; Jia, Xiuyi; Wang, Xin; Zhang, Han; Ying, Shihui; Wang, Qian; Shi, Jun; Shen, Dinggang.

Affiliation

Wang J; School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
Zhang F; School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China.
Jia X; School of Computer Science and Engineering, Nanjing University of Science and Technology, 210094, China.
Wang X; School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
Zhang H; School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Ying S; Department of Mathematics, School of Science, Shanghai University, Shanghai 200444, China.
Wang Q; School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Shi J; School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China. Electronic address: junshi@shu.edu.cn.
Shen D; School of Biomedical Engineering, ShanghaiTech University, Shanghai, China; Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China. Electronic address: Dinggang.Shen@gmail.com.

Med Image Anal ; 75: 102294, 2022 01.

Article de En | MEDLINE | ID: mdl-34826797

Sujet(s)
Mots clés

Autism spectrum disorder; imbalanced data; label distribution learning; multi-class ASD classification

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Trouble du spectre autistique Limites: Humans Langue: En Journal: Med Image Anal Sujet du journal: DIAGNOSTICO POR IMAGEM Année: 2022 Type de document: Article Pays d'affiliation: Chine

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