Agreement Between Saliency Maps and Human-Labeled Regions of Interest: Applications to Skin Disease Classification-Reference-Cited by-同舟云学术

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Agreement Between Saliency Maps and Human-Labeled Regions of Interest: Applications to Skin Disease Classification

Published:2020-06 Issue: Volume: Page:
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Container-title:2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Singh Nalini,Lee Kang,Coz David,Angermueller Christof,Huang Susan,Loh Aaron,Liu Yuan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9142289/9150305/09150913.pdf?arnumber=9150913

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Do Humans and Convolutional Neural Networks Attend to Similar Areas during Scene Classification: Effects of Task and Image Type;Applied Sciences;2024-03-21

2. Interpretability is in the Eye of the Beholder: Human Versus Artificial Classification of Image Segments Generated by Humans Versus XAI;International Journal of Human–Computer Interaction;2024-03-06

3. Auditing the inference processes of medical-image classifiers by leveraging generative AI and the expertise of physicians;Nature Biomedical Engineering;2023-12-28

4. Understanding the Role of Saliency Maps for Biomarker Research in 3D Medical Imaging Classification;2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA);2023-11-28

5. Dissection of medical AI reasoning processes via physician and generative-AI collaboration;2023-05-16

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