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DARC: Deep adaptive regularized clustering for histopathological image classification.
Li, Junjian; Liu, Jin; Yue, Hailin; Cheng, Jianhong; Kuang, Hulin; Bai, Harrison; Wang, Yuping; Wang, Jianxin.
Afiliación
  • Li J; Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China.
  • Liu J; Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China. Electronic address: liujin06@csu.edu.cn.
  • Yue H; Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China.
  • Cheng J; Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China.
  • Kuang H; Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China.
  • Bai H; Department of Diagnostic Imaging, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, RI 02912, USA.
  • Wang Y; Department of Biomedical Engineering, Tulane University, New Orleans, LA 70118, USA.
  • Wang J; Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China. Electronic address: jxwang@mail.csu.edu.cn.
Med Image Anal ; 80: 102521, 2022 08.
Article en En | MEDLINE | ID: mdl-35780594
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Aprendizaje Automático Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Aprendizaje Automático Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: China