Generating Counterfactual Explanations For Causal Inference in Breast Cancer Treatment Response
Author:
Affiliation:
1. Arizona State University,School of Computing and Augmented Intelligence,Tempe,AZ,USA,85281
2. Mayo Clinic,Department of Radiology,Phoenix,AZ,USA,85054
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9926286/9926419/09926519.pdf?arnumber=9926519
Cited by 3 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. Majority voting of doctors improves appropriateness of AI reliance in pathology;International Journal of Human-Computer Studies;2024-10
2. SCGAN: Sparse CounterGAN for Counterfactual Explanations in Breast Cancer Prediction;2023-04-24
3. SCGAN: Sparse CounterGAN for Counterfactual Explanations in Breast Cancer Prediction;IEEE Transactions on Automation Science and Engineering;2023
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