MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification
Published in arXiv, 2024
This work proposes a novel interpretable model named MAProtoNet for brain tumor classification using brain MRI data.
Recommended citation: Binghua Li, Jie Mao, Zhe Sun, Chao Li, Qibin Zhao, Toshihisa Tanaka. MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification. arXiv preprint arXiv:2404.08917, 2024.
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