In this paper, a supervised pixel-based classifier approach for segmenting different anatomical regions in abdominal Computed Tomography (CT) studies is presented. The approach co...
Mikhail Kalinin, Daniela Stan Raicu, Jacob D. Furs...
There exists a large body of literature on shape matching and registration in medical image analysis. However, most of the previous work is focused on matching particular sets of f...
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
Limiting capabilities of practical recognition systems are determined by a variety of factors that include source encoding techniques, quality of images, complexity of underlying ...