Brain Tumor Classification in MRI: Insights From LIME and Grad-CAM Explainable AI Techniques

Artificial intelligence (AI) has become increasingly vital in brain tumour diagnosis using magnetic resonance imaging (MRI). This study serves as a reproduction and interpretability case study, evaluating the behaviour of established convolutional neural network (CNN) architectures: VGG16, ResNet50,...

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Autors principals:	Han Chel Yoon, Lih Poh Lin
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Convolutional neural network explainable artificial intelligence grad-CAM LIME MRI SDG3
Accés en línia:	https://ieeexplore.ieee.org/document/11142756/
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