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cs.CV2024
Quantitative Evaluation of the Saliency Map for Alzheimer's Disease Classifier with Anatomical Segmentation
Yihan Zhang, Xuanshuo Zhang, Wei Wu +1
Saliency maps have been widely used to interpret deep learning classifiers for Alzheimer's disease (AD). However, since AD is heterogeneous and has multiple subtypes, the pathologi…
cs.CV2022
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning
Chonghan Chen, Haohan Wang, Leyang Hu +6
We introduce the initial release of our software Robustar, which aims to improve the robustness of vision classification machine learning models through a data-driven perspective.…