A Hybrid Learning-Architecture for Improved Brain Tumor Recognition

The accurate classification of brain tumors is an important step for early intervention. Artificial intelligence (AI)-based diagnostic systems have been utilized in recent years to help automate the process and provide more objective and faster diagnosis. This work introduces an enhanced AI-based ar...

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Autors principals:	Jose Dixon, Oluwatunmise Akinniyi, Abeer Abdelhamid, Gehad A. Saleh, Md Mahmudur Rahman, Fahmi Khalifa
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-05-01
Col·lecció:	Algorithms
Matèries:	brain tumor neural networks deep learning vision transformer feature fusion
Accés en línia:	https://www.mdpi.com/1999-4893/17/6/221
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