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...

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...

Colonoscopy is the gold standard investigation for examining the lower GI tract [1]. It plays a fundamental role in investigation of symptomatic individuals and in screening for colorectal cancer (CRC) [2,3]. Colonoscopy must be high quality in order to maximize its benefit [4]. Poor-quality colonoscopy is associated with increased interval cancer rates [4]. High-quality colonoscopy involves a ...

In this paper, we present a computer-aided detection (CAD) method to extract and use internal features to reduce false positive (FP) rate generated by surface-based measures on the inner colon wall in computed tomographic (CT) colonography. Firstly, a new shape description global curvature, which can provide an overall shape description of the colon wall, is introduced to improve the detection ...

the pathogenetic mechanism of nasal polyps remains unknown, although allergy has been cited as an important factor in the etiology of nasal polyposis. currently there is no definite histological criterion for differentiation of allergic from inflammatory nasal polyp. however, in a few studies, tissue eosinophil count has been used for this. this study aimed to find out the agreement rate of ski...

Nowadays, Virtual Colonoscopy (VC) is an important non-invasive alternative for the study of the colon. Substantial research efforts have been dedicated to this method, and one of the major challenges has always been producing accurate results in a short period of time. One of the most crucial phases of VC is the detection of polyp candidates, where possible lesions on the colon walls are autom...

This paper presents an automated detection method for identifying colonic polyps and reducing false positives (FPs) in CT images. It formulates the problem of polyp detection as a probability calculation through a unified Bayesian statistical model. The polyp likelihood is modeled with a combination of shape and intensity features. A second principal curvature PDE provides a shape model; and th...

Colorectal cancer, also called colon cancer or bowel cancer, includes cancerous growths in the colon, rectum and appendix. It is the second leading cause of death caused by cancers and the third most common form of cancer in the United States [1]. Computer tomographic colonography (CTC) is a minimally invasive technique and rapidly evolving diagnostic tool for the location, detection and identi...

BACKGROUND & AIMS A gradual shift of colorectal adenoma and carcinoma location toward the proximal colon has been recently observed both in the United States and Europe. We aimed to study the polyp and adenoma detection rate in a major endoscopy center of northwestern Romania over a 16-year period, and to characterize the distribution and the pathological features of the removed polyps accordin...