Efficient framework for brain tumor detection using different deep learning techniques.

Taher, Fatma; Shoaib, Mohamed R; Emara, Heba M; Abdelwahab, Khaled M; Abd El-Samie, Fathi E; Haweel, Mohammad T

Taher, Fatma; Shoaib, Mohamed R; Emara, Heba M; Abdelwahab, Khaled M; Abd El-Samie, Fathi E; Haweel, Mohammad T.

Afiliación

Taher F; College of Technological Innovative, Zayed University, Abu Dhabi, United Arab Emirates.
Shoaib MR; Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.
Emara HM; Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.
Abdelwahab KM; Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.
Abd El-Samie FE; Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.
Haweel MT; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.

Front Public Health ; 10: 959667, 2022.

Article en En | MEDLINE | ID: mdl-36530682

Asunto(s)

Neoplasias Encefálicas; Aprendizaje Profundo; Humanos; Neoplasias Encefálicas/diagnóstico por imagen; Redes Neurales de la Computación; Encéfalo/diagnóstico por imagen; Imagen por Resonancia Magnética/métodos

Palabras clave

CNN; MRI; brain tumor classification; classification; deep neural networks; pre-trained models; segmentation; transfer learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Front Public Health Año: 2022 Tipo del documento: Article País de afiliación: Emiratos Árabes Unidos

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