ResSGA-Net: A deep learning approach for enhanced brain tumor detection and accurate classification in healthcare imaging systems

Accurate and reliable brain tumor classification from magnetic resonance imaging (MRI) is a critical component of computer-aided diagnosis systems, directly impacting clinical decision-making and patient outcomes. This study presents ResSGA-Net, a hybrid deep learning framework that integrates a Res...

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Autors principals:	Yucheng Guan, Ahmad Alshammari, Yu Wang, Jahan Zeb Gul, Azhar Imran
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2026-03-01
Col·lecció:	Journal of Genetic Engineering and Biotechnology
Matèries:	Brain tumor classification Deep learning MRI images ResSGA-Net
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S1687157X26000028
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