… 2018) In this study, we extend this work by evaluating popular saliency map methods …
architectures on saliency maps and validate our findings on a separate medical imaging dataset. …

… and validation sets) in terms of the utility of the map. Third, we assessed if saliency maps …
Third, we focused only on the ability of saliency maps to localize pathologic features and …

… rely on them for deep learning explainability in medical imaging. … mIoU localization
performance using different saliency map … Assessing the validity of saliency maps for abnormality …

… Conventionally, this system takes routine medical images … up saliency map algorithms regularly
failed to localize salient … that indicates anomaly regions' location on a CXR image, based …

… to achieve localization of abnormalities in medical images, with … The use of attention maps,
saliency maps and other mapping … of A in determining classification accuracy and localization. …

… in more generic form using medical image toward diagnosis. … some object localization can
be realized by evaluating the … supervised localization architecture for CXR using saliency map. …

… demonstrate a much higher localization efficacy using our adopted … localization success
and demonstrate a failure mode assess… in 1) to highlight abnormal regions which are suspected …

… , and (2) we assess whether their energy distribution has … In our model we consider polyps
as abnormalities that appear … polyp localization method along with a new validation framework …

… assess which areas of the input image are most pertinent to the prediction of a trained neural
network. However, in the context of medical imaging… various existing saliency map methods …

… two saliency methods, namely Saliency Maps and Grad-CAM, improves the robustness and
accuracy of localization. … Multiple experiments were performed to evaluate the efficacy of the …