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A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images.
Hossain, Amran; Islam, Mohammad Tariqul; Abdul Rahim, Sharul Kamal; Rahman, Md Atiqur; Rahman, Tawsifur; Arshad, Haslina; Khandakar, Amit; Ayari, Mohamed Arslane; Chowdhury, Muhammad E H.
Afiliação
  • Hossain A; Centre for Advanced Electronic and Communication Engineering, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
  • Islam MT; Department of Computer Science and Engineering, Dhaka University of Engineering and Technology, Gazipur, Gazipur 1707, Bangladesh.
  • Abdul Rahim SK; Centre for Advanced Electronic and Communication Engineering, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
  • Rahman MA; Wireless Communication Centre, University Teknologi Malaysia, Skudai 81310, Malaysia.
  • Rahman T; Centre for Advanced Electronic and Communication Engineering, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
  • Arshad H; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Khandakar A; Institute of IR4.0, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia.
  • Ayari MA; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Chowdhury MEH; Department of Civil and Architectural Engineering, Qatar University, Doha 2713, Qatar.
Biosensors (Basel) ; 13(2)2023 Feb 07.
Article em En | MEDLINE | ID: mdl-36832004
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article