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Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images.
Hossain, Md Sakib Abrar; Gul, Sidra; Chowdhury, Muhammad E H; Khan, Muhammad Salman; Sumon, Md Shaheenur Islam; Bhuiyan, Enamul Haque; Khandakar, Amith; Hossain, Maqsud; Sadique, Abdus; Al-Hashimi, Israa; Ayari, Mohamed Arselene; Mahmud, Sakib; Alqahtani, Abdulrahman.
Afiliação
  • Hossain MSA; NSU Genome Research Institute (NGRI), North South University, Dhaka 1229, Bangladesh.
  • Gul S; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Chowdhury MEH; Department of Computer Systems Engineering, University of Engineering and Technology Peshawar, Peshawar 25000, Pakistan.
  • Khan MS; Artificial Intelligence in Healthcare, IIPL, National Center of Artificial Intelligence, Peshawar 25000, Pakistan.
  • Sumon MSI; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Bhuiyan EH; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Khandakar A; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Hossain M; Center for Magnetic Resonance Research, University of Illinois Chicago, Chicago, IL 60607, USA.
  • Sadique A; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Al-Hashimi I; NSU Genome Research Institute (NGRI), North South University, Dhaka 1229, Bangladesh.
  • Ayari MA; NSU Genome Research Institute (NGRI), North South University, Dhaka 1229, Bangladesh.
  • Mahmud S; Hamad Medical Corporation, Doha 3050, Qatar.
  • Alqahtani A; Department of Civil Engineering, Qatar University, Doha 2713, Qatar.
Sensors (Basel) ; 23(21)2023 Nov 01.
Article em En | MEDLINE | ID: mdl-37960589
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bangladesh País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bangladesh País de publicação: Suíça