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IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and InceptionNet-V3.
Bilal, Anas; Shafiq, Muhammad; Fang, Fang; Waqar, Muhammad; Ullah, Inam; Ghadi, Yazeed Yasin; Long, Haixia; Zeng, Rao.
Afiliação
  • Bilal A; College of Information Science and Technology, Hainan Normal University, Haikou 571158, China.
  • Shafiq M; School of Information Engineering, Qujing Normal University, Qujing 655011, China.
  • Fang F; College of Information Engineering, Hainan Vocational University of Science and Technology, Haikou 571126, China.
  • Waqar M; Department of Computer Science, COMSATS University, Islamabad 45550, Pakistan.
  • Ullah I; BK21 Chungbuk Information Technology Education and Research Center, Chungbuk National University, Cheongju-si 28644, Republic of Korea.
  • Ghadi YY; Department of Computer Science, Al Ain University, Abu Dhabi 64141, United Arab Emirates.
  • Long H; College of Information Science and Technology, Hainan Normal University, Haikou 571158, China.
  • Zeng R; College of Information Science and Technology, Hainan Normal University, Haikou 571158, China.
Sensors (Basel) ; 22(24)2022 Dec 07.
Article em En | MEDLINE | ID: mdl-36559970
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nódulo Pulmonar Solitário / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nódulo Pulmonar Solitário / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China