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cs.LG2023★ 18 cited
Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models
Lennart Brocki, Neo Christopher Chung
Despite the unprecedented performance of deep neural networks (DNNs) in computer vision, their practical application in the diagnosis and prognosis of cancer using medical imaging…
cs.LG2023
Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators in Neural Networks
Lennart Brocki, Neo Christopher Chung
Post-hoc explanation methods attempt to make the inner workings of deep neural networks more interpretable. However, since a ground truth is in general lacking, local post-hoc inte…