Efficient atypicality detection in chest radiographs

Conference/Journal
IEEE
Authors
Mohammad Alzubaidi Vineeth N Balasubramanian Ameet Patel Sethuraman Panchanathan John A Black
BibTex
Abstract
Abstract: Expert radiologists are able to quickly detect atypical features in chest radiographs because they have developed a sense of what textures and contours are typical for each anatomic region by viewing a large set of “normal” chest radiographs. Our previous work modeled this type of learning with a transductive One-Nearest-Neighbor (1NN) method that was effective for identifying atypical regions in chest radiographs. However, the need to compute distances between the feature vectors extracted from a test image and a very ...