IMPA-Net: Interpretable Multi-Part Attention Network for Trustworthy Brain Tumor Classification from MRI

IMPA-Net: Interpretable Multi-Part Attention Network for Trustworthy Brain Tumor Classification from MRI

Deep learning (DL) networks have shown attractive performance in medical image processing tasks such as brain tumor classification. However, they are often criticized as mysterious “black boxes”. The opaqueness of the model and the reasoning process make it difficult for health workers to decide whe...

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Bibliographic Details
Main Authors: Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, Claudia Testa, Ruifeng Zhu, Caterina Tonon, Raffaele Lodi, David Neil Manners
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Diagnostics
Subjects:
decision support
interpretability
trustworthiness
deep neural networks
brain tumor classification
multi-part attention
Online Access:https://www.mdpi.com/2075-4418/14/10/997

Internet

https://www.mdpi.com/2075-4418/14/10/997

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