A lightweight multi-path convolutional neural network architecture using optimal features selection for multiclass classification of brain tumor using magnetic resonance images

Brain tumor diagnosis requires precision due to the high mortality rate associated with the growth of abnormal cells in the brain. Early disease identification, improved survival rates, and less reliance on professional MRI analysis is possible with computer-aided diagnostic (CAD) systems using adva...

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Autors principals:	Amreen Batool, Yung-Cheol Byun
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-03-01
Col·lecció:	Results in Engineering
Matèries:	Brain tumor Medical imaging Convolutional neural network Multi-path architecture Deep learning Image classification
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2590123025004086
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