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A Hybrid Workflow of Residual Convolutional Transformer Encoder for Breast Cancer Classification Using Digital X-ray Mammograms.
Al-Tam, Riyadh M; Al-Hejri, Aymen M; Narangale, Sachin M; Samee, Nagwan Abdel; Mahmoud, Noha F; Al-Masni, Mohammed A; Al-Antari, Mugahed A.
Afiliação
  • Al-Tam RM; School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded 431606, Maharashtra, India.
  • Al-Hejri AM; School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded 431606, Maharashtra, India.
  • Narangale SM; School of Media Studies, Swami Ramanand Teerth Marathwada University, Nanded 431606, Maharashtra, India.
  • Samee NA; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
  • Mahmoud NF; Rehabilitation Sciences Department, Health and Rehabilitation Sciences College, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
  • Al-Masni MA; Department of Artificial Intelligence, College of Software and Convergence Technology, Daeyang AI Center, Sejong University, Seoul 05006, Republic of Korea.
  • Al-Antari MA; Department of Artificial Intelligence, College of Software and Convergence Technology, Daeyang AI Center, Sejong University, Seoul 05006, Republic of Korea.
Biomedicines ; 10(11)2022 Nov 18.
Article em En | MEDLINE | ID: mdl-36428538
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article