Sciweavers

14 search results - page 1 / 3
» Polyp Detection in Endoscopic Video Using SVMs
Sort
View
PKDD
2007
Springer
134views Data Mining» more  PKDD 2007»
13 years 10 months ago
Polyp Detection in Endoscopic Video Using SVMs
Colon cancer is one of the most common cancers in developed countries. Most of these cancers start with a polyp. Polyps are easily detected by physicians. Our goal is to mimic this...
Luís A. Alexandre, João Casteleiro, ...
BMEI
2008
IEEE
13 years 11 months ago
Color and Position versus Texture Features for Endoscopic Polyp Detection
This paper presents a comparison of texture based and color and position based methods for polyp detection in endoscopic video images. Two methods for texture feature extraction t...
Luís A. Alexandre, Nuno Nobre, João ...
IJAIT
2006
121views more  IJAIT 2006»
13 years 4 months ago
An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection
We present an efficient feature selection algorithm for computer aided detection (CAD) computed tomographic (CT) colonography. The algorithm 1) determines an appropriate piecewise...
Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas...
CVPR
2012
IEEE
11 years 7 months ago
Two-person interaction detection using body-pose features and multiple instance learning
Human activity recognition has potential to impact a wide range of applications from surveillance to human computer interfaces to content based video retrieval. Recently, the rapi...
Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, ...
BILDMED
2009
215views Algorithms» more  BILDMED 2009»
13 years 5 months ago
Texture-Based Polyp Detection in Colonoscopy
Colonoscopy is one of the best methods for screening colon cancer. A variety of research groups have proposed methods for automatic detection of polyps in colonoscopic images to su...
Stefan Ameling, Stephan Wirth, Dietrich Paulus, Ge...