Fusion-Based Deep Learning with Nature-Inspired Algorithm for Intracerebral Haemorrhage Diagnosis.

Alfaer, Nada M; Aljohani, Hassan M; Abdel-Khalek, Sayed; Alghamdi, Abdulaziz S; Mansour, Romany F

Alfaer, Nada M; Aljohani, Hassan M; Abdel-Khalek, Sayed; Alghamdi, Abdulaziz S; Mansour, Romany F.

Afiliación

Alfaer NM; Department of Mathematics and Statistics, College of Science, Taif University, Taif 21944, Saudi Arabia.
Aljohani HM; Department of Mathematics and Statistics, College of Science, Taif University, Taif 21944, Saudi Arabia.
Abdel-Khalek S; Department of Mathematics and Statistics, College of Science, Taif University, Taif 21944, Saudi Arabia.
Alghamdi AS; Department of Mathematics, Sohag University, Sohag 82524, Egypt.
Mansour RF; Department of Mathematics, College of Science and Arts, King Abdulaziz University, P. O. Box 344, Rabigh 21911, Saudi Arabia.

J Healthc Eng ; 2022: 4409336, 2022.

Article en En | MEDLINE | ID: mdl-35087649

Asunto(s)

Aprendizaje Profundo; Ciervos; Algoritmos; Animales; Hemorragia Cerebral/diagnóstico por imagen; Humanos; Tomografía Computarizada por Rayos X/métodos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ciervos / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Animals / Humans Idioma: En Revista: J Healthc Eng Año: 2022 Tipo del documento: Article País de afiliación: Arabia Saudita

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