Title :
Vascularization features for polyp localization in capsule endoscopy
Author :
V. B. Surya Prasath;Hiroharu Kawanaka
Author_Institution :
Computational Imaging and Visualization Analysis (CiVA) Lab, Department of Computer Science, University of Missouri-Columbia, 65211 USA
Abstract :
Polyps in gastrointestinal (GI) tract can be precursors to cancer and detecting them early is important in determining their malignancy. Video capsule endoscopy imaging is a useful technology and provides visualization of GI without discomfort to the patient. We consider polyp localization from capsule endoscopy imagery using vascularization features. By using texture features computed from principle curvatures of the image surface, and multiscale directional vesselness stamping we obtain localization of polyps from a given video frame. We present our preliminary results for malignant and benign polyps from capsule endoscopy images.
Keywords :
"Electronic mail","Biomedical imaging"
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on
DOI :
10.1109/BIBM.2015.7359946