Searched for: subject%3A%22polyp%22
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Van Wijk, C. (author), Van Ravesteijn, V.F. (author), Vos, F.M. (author), Van Vliet, L.J. (author)
Today’s computer aided detection systems for computed tomography colonography (CTC) enable automated detection and segmentation of colorectal polyps.We present a paradigm shift by proposing a method that measures the amount of protrudedness of a candidate object in a scale adaptive fashion. One of the main results is that the performance of the...
journal article 2010
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Van Ravesteijn, V.F. (author), Van Wijk, C. (author), Vos, F.M. (author), Truyen, R. (author), Peters, J.F. (author), Stoker, J. (author), Van Vliet, L.J. (author)
We present a computer-aided detection (CAD) system for computed tomography colonography that orders the polyps according to clinical relevance. TheCADsystem consists of two steps: candidate detection and supervised classification. The characteristics of the detection step lead to specific choices for the classification system. The candidates are...
journal article 2010
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Pols, E.J. (author)
The risk of developing colon cancer is strongly correlated with the appearance of polypoid lesions (also called polyps) in the large intestine [Santoro et al. 2008]. Not all polyps are dangerous; in fact only one percent of polyps smaller than one centimeter is dangerous. However, when polyps grow bigger the risk quickly increases to over fifty...
master thesis 2008
document
Zhao, L. (author), Botha, C.P. (author), Truyen, R. (author), Vos, F.M. (author), Post, F.H. (author)
Many computer aided diagnosis (CAD) schemes have been developed for colon cancer detection using Virtual Colonoscopy (VC). In earlier work, we developed an automatic polyp detection method integrating flow visualization techniques, that forms part of the CAD functionality of an existing Virtual Colonoscopy pipeline. Curvature streamlines were...
conference paper 2008
Searched for: subject%3A%22polyp%22
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