Searched for: subject%3A%22Computer%255C-aided%255C%2BDiagnosis%22
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Starmans, Martijn P.A. (author), Miclea, Razvan L. (author), van der Voort, S.R. (author), Niessen, W.J. (author), Thomeer, Maarten G. (author), Klein, S. (author)
Correct diagnosis of the liver tumor phenotype is crucial for treatment planning, especially the distinction between malignant and benign lesions. Clinical practice includes manual scoring of the tumors on Magnetic Resonance (MR) images by a radiologist. As this is challenging and subjective, it is often followed by a biopsy. In this study,...
conference paper 2018
Zhao, L. (author)
In this thesis, we present an automatic polyp detection approach that integrates knowledge from flow visualization techniques. Our primary goal was to compute additional characteristic polyp features that improve the CAD performance of existing polyp detection approaches by eliminating found false-positive polyp candidates. We found that surface...
doctoral thesis 2011
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