A Robust ConvNeXt-Based Framework for Efficient, Generalizable, and Explainable Brain Tumor Classification on MRI

<b>Background:</b> Accurate and dependable brain tumor classification from magnetic resonance imaging (MRI) is essential for clinical decision support, yet remains challenging due to inter-dataset variability, heterogeneous tumor appearances, and limited generalization of many deep learning models....

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Principais autores:	Kirti Pant, Pijush Kanti Dutta Pramanik, Zhongming Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-01-01
coleção:	Bioengineering
Assuntos:	brain tumor classification magnetic resonance imaging ConvNeXt deep learning explainable AI medical image analysis
Acesso em linha:	https://www.mdpi.com/2306-5354/13/2/157
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