Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/15542
Title: Automatic Polyp Detection in Pillcam Colon 2 Capsule Images and Videos: Preliminary Feasibility Report
Authors: Figueiredo, Pedro N. 
Figueiredo, Isabel N. 
Prasath, Surya 
Tsai, Richard 
Issue Date: 2011
Publisher: Hindawi Publishing Corporation
Issue Date: 2011
Publisher: Hindawi Publishing Corporation
Citation: FIGUEIREDO, Pedro N. [et al.] - Automatic Polyp Detection in Pillcam Colon 2 Capsule Images and Videos: Preliminary Feasibility Report. "Diagnostic and Therapeutic Endoscopy". ISSN 1070-3608. Vol. 2011 (2011) 7 p.
Abstract: Background. The aim of this work is to present an automatic colorectal polyp detection scheme for capsule endoscopy. Methods. PillCam COLON2 capsule-based images and videos were used in our study. The database consists of full exam videos from five patients. The algorithm is based on the assumption that the polyps show up as a protrusion in the captured images and is expressed bymeans of a P-value, defined by geometrical features. Results. Seventeen PillCamCOLON2 capsule videos are included, containing frames with polyps, flat lesions, diverticula, bubbles, and trash liquids. Polyps larger than 1 cmexpress a P-value higher than 2000, and 80% of the polyps show a P-value higher than 500. Diverticula, bubbles, trash liquids, and flat lesions were correctly interpreted by the algorithmas nonprotruding images. Conclusions. These preliminary results suggest that the proposed geometrybased polyp detection scheme works well, not only by allowing the detection of polyps but also by differentiating them from nonprotruding images found in the films.
URI: http://hdl.handle.net/10316/15542
ISSN: 1070-3608
DOI: 10.1155/2011/182435
Rights: openAccess
Appears in Collections:FMUC Medicina - Artigos em Revistas Internacionais
I&D CMUC - Artigos em Revistas Internacionais
FCTUC Matemática - Artigos em Revistas Internacionais

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