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A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time.
Khan, Inam Ullah; Raiaan, Mohaimenul Azam Khan; Fatema, Kaniz; Azam, Sami; Rashid, Rafi Ur; Mukta, Saddam Hossain; Jonkman, Mirjam; De Boer, Friso.
  • Khan IU; Health Informatics Research Lab, Department of Computer Science and Engineering, Daffodil International University, Dhaka 1207, Bangladesh.
  • Raiaan MAK; Department of Computer Science and Engineering, United International University, Dhaka 1212, Bangladesh.
  • Fatema K; Health Informatics Research Lab, Department of Computer Science and Engineering, Daffodil International University, Dhaka 1207, Bangladesh.
  • Azam S; Faculty of Science and Technology, Charles Darwin University, Darwin, NT 0909, Australia.
  • Rashid RU; Department of Computer Science and Engineering, Penn State University, State College, PA 16801, USA.
  • Mukta SH; Department of Computer Science and Engineering, United International University, Dhaka 1212, Bangladesh.
  • Jonkman M; Faculty of Science and Technology, Charles Darwin University, Darwin, NT 0909, Australia.
  • De Boer F; Faculty of Science and Technology, Charles Darwin University, Darwin, NT 0909, Australia.
Biomedicines ; 11(6)2023 May 28.
Article en En | MEDLINE | ID: mdl-37371661
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Screening_studies Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Screening_studies Idioma: En Año: 2023 Tipo del documento: Article