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SSMD-UNet: semi-supervised multi-task decoders network for diabetic retinopathy segmentation.
Ullah, Zahid; Usman, Muhammad; Latif, Siddique; Khan, Asifullah; Gwak, Jeonghwan.
Afiliação
  • Ullah Z; Department of Software, Korea National University of Transportation, Chungju, 27469, South Korea.
  • Usman M; Department of Computer Science and Engineering, Seoul National University, Seoul, 08826, South Korea.
  • Latif S; Faculty of Health and Computing, University of Southern Queensland, Toowoomba, QL, 4300, Australia.
  • Khan A; Pattern Recognition Lab, DCIS, PIEAS, Nilore, Islamabad, 45650, Pakistan.
  • Gwak J; Department of Software, Korea National University of Transportation, Chungju, 27469, South Korea. jgwak@ut.ac.kr.
Sci Rep ; 13(1): 9087, 2023 06 05.
Article em En | MEDLINE | ID: mdl-37277554
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Retinopatia Diabética / Oftalmologistas Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Retinopatia Diabética / Oftalmologistas Idioma: En Ano de publicação: 2023 Tipo de documento: Article