Computer-aided detection for virtual colonoscopy
نویسندگان
چکیده
منابع مشابه
Computer-aided detection for virtual colonoscopy
Colon cancer is one of the leading causes of cancer deaths in the developed countries. Most colon cancers can be prevented if precursor colon polyps are detected and removed. Virtual colonoscopy, or CT colonography, has shown promise to be the future screening tool for polyp detection, with a number of studies performed at academic institutions showing high sensitivity and specificity. Two main...
متن کاملComputer-aided diagnosis for colonoscopy.
aided diagnosis (CAD) for colonoscopy is gaining increasing attention. CADallows automated detection and classification (i. e. pathological prediction) of colorectal polyps during realtime endoscopy, potentially helping endoscopists to avoid missing and mischaracterizing polyps. Although the evidence has not caught up with technological progress, CADhas the potential to improve the quality of c...
متن کاملA Review of Current Computer Aided Diagnosis Systems for Polyp Detection in Virtual Colonoscopy
The potential of Computer Aided Diagnosis (CAD) has been exploited lately in order to assist the doctors in carrying out the inspection of lengthy videos from virtual colonoscopy. Colonic polyps are known precursors of the colon cancer, which has been the third mostly diagnosed form of cancer. In this paper, we discuss the most important parameters used for evaluation of CAD systems for polyp d...
متن کاملComputed tomographic virtual colonoscopy computer-aided polyp detection in a screening population.
BACKGROUND & AIMS The sensitivity of computed tomographic (CT) virtual colonoscopy (CT colonography) for detecting polyps varies widely in recently reported large clinical trials. Our objective was to determine whether a computer program is as sensitive as optical colonoscopy for the detection of adenomatous colonic polyps on CT virtual colonoscopy. METHODS The data set was a cohort of 1186 s...
متن کاملComputer-aided detection of polyps in optical colonoscopy images
We present a computer-aided detection algorithm for polyps in optical colonoscopy images. Polyps are the precursors to colon cancer. In the US alone, more than 14 million optical colonoscopies are performed every year, mostly to screen for polyps. Optical colonoscopy has been shown to have an approximately 25% polyp miss rate due to the convoluted folds and bends present in the colon. In this w...
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ژورنال
عنوان ژورنال: Cancer Imaging
سال: 2005
ISSN: 1470-7330
DOI: 10.1102/1470-7330.2005.0016