Towards reliable medical image analysis based on deep learning with XAI

Jingbo Hao

doi:10.1117/12.2680931

8 June 2023 Towards reliable medical image analysis based on deep learning with XAI

Jingbo Hao

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 1270754 (2023) https://doi.org/10.1117/12.2680931
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

Deep learning-based medical image analysis (DLB-MIA) has achieved great success hitherto, but is in urgent need of model interpretability. Explainable artificial intelligence (XAI) can be used for improving model interpretability and is expected to help in providing crucial trustworthiness in DLB-MIA. To expedite the utilization of XAI technology for reliable DLB-MIA, the current status of XAI methods and toolkits is introduced firstly. The application of XAI technology in DLB-MIA tasks is then discussed with close attention in respect of method taxonomies and adversarial robustness respectively.

Citation Download Citation

Jingbo Hao "Towards reliable medical image analysis based on deep learning with XAI", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 1270754 (8 June 2023); https://doi.org/10.1117/12.2680931

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