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Breast cancer classification based on convolutional neural network and image fusion approaches using ultrasound images.
Alotaibi, Mohammed; Aljouie, Abdulrhman; Alluhaidan, Najd; Qureshi, Wasem; Almatar, Hessa; Alduhayan, Reema; Alsomaie, Barrak; Almazroa, Ahmed.
Afiliação
  • Alotaibi M; Computer Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia.
  • Aljouie A; Imaging Research Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, 11481, Saudi Arabia.
  • Alluhaidan N; AI and Bioinformatics Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, 11481, Saudi Arabia.
  • Qureshi W; College of Public Health and Health Informatics, Department of Health Informatics, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, 11481, Saudi Arabia.
  • Almatar H; Medical Imaging Department, King Abdulaziz Medical City, Ministry of National Guard - Health Affairs, Riyadh, 11426, Saudi Arabia.
  • Alduhayan R; AI and Bioinformatics Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, 11481, Saudi Arabia.
  • Alsomaie B; Imaging Research Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, 11481, Saudi Arabia.
  • Almazroa A; AI and Bioinformatics Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, 11481, Saudi Arabia.
Heliyon ; 9(11): e22406, 2023 Nov.
Article em En | MEDLINE | ID: mdl-38074874
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Heliyon Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Arábia Saudita
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Heliyon Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Arábia Saudita