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Training Calibration-based Counterfactual Explainers for Deep Learning Models in Medical Image Analysis

2021-09-28

Abstract excerpt

Artificial intelligence methods such as deep neural networks promise unprecedented capabilities in healthcare, from diagnosing diseases to prescribing treatments. While this can eventually produce a valuable suite of tools for automating clinical workflows, a critical step forward is to ensure that the predictive models are reliable and to enable a rigorous introspection of their behavior. This has led to the desi...

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Literature Corpus work
68ef687b-dfb0-554d-bd98-d8127b14f19d
DOI
10.21203/rs.3.rs-929235/v1
Open publication

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Training Calibration-based Counterfactual Explainers for Deep Learning Models in Medical Image AnalysisDOI 10.21203/rs.3.rs-929235/v1
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