Title
Polyp Detection in Colonoscopy Video using Elliptical Shape Feature
Abstract
Early detection of polyps and cancers is one of the most important goals of colonoscopy. Computer-based analysis of video files using texture features, as has been proposed for polyps of the stomach and colon, has two major limitations: this method uses a fixed size analysis window and relies heavily on a training set of images for accuracy. To overcome these limitations, we propose a new technique focusing on shape instead of texture in this paper. The proposed polyp region detection method is based on the elliptical shape that is common for nearly all small colon polyps.
Year
DOI
Venue
2007
10.1109/ICIP.2007.4379193
ICIP (2)
Keywords
Field
DocType
ellipse fitting,video signal processing,computer-based analysis,fixed size analysis window,biomedical optical imaging,elliptical shape feature,stomach,texture features,image registration,index terms— colonoscopy,cancer,feature extraction,colonoscopy,object detection,colonoscopy video,polyp detection,colon polyps,biological organs,cancer detection,medical image processing,indexing terms
Training set,Computer vision,Object detection,Early detection,Colonoscopy,Pattern recognition,Computer science,Feature extraction,Small Colon,Artificial intelligence,Region detection,Image registration
Conference
Volume
ISSN
ISBN
2
1522-4880 E-ISBN : 978-1-4244-1437-6
978-1-4244-1437-6
Citations 
PageRank 
References 
40
2.85
3
Authors
5
Name
Order
Citations
PageRank
Sae Hwang124717.88
JungHwan Oh252044.87
Wallapak Tavanapong353563.27
Johnny Wong450049.19
Piet C. De Groen537229.89