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Eliminating Rib Shadows in Chest Radiographic Images Providing Diagnostic Assistance
(2016)
A major difficulty with chest radiographic analysis is the invisibility of abnormalities caused by the superimposition of normal anatomical structures, such as ribs, over the main tissue to be examined. Suppressing the ...
Context-Sensitive Model Learning for Lung Nodule Detection
(2016)
Nodule detection in chest radiographs is a main component of current Computer Aided Diagnosis (CAD) systems. The problem is usually approached as a supervised classification task of candidate nodule segments. To this end, ...
Weighted Feature Fusion for Content Based Image Retrieval
(2016)
The feature descriptors such as SIFT (Scale Invariant Feature Transform), SURF (Speeded-up Robust Features) and ORB (Oriented FAST and Rotated BRIEF) are known as the most commonly used solutions for the content based image ...