Holger R. Roth, Thomas E. Hampshire, Jamie R. McClelland,'s Abdominal Imaging. Computational and Clinical Applications: PDF

By Holger R. Roth, Thomas E. Hampshire, Jamie R. McClelland, Mingxing Hu, Darren J. Boone (auth.), Hiroyuki Yoshida, Georgios Sakas, Marius George Linguraru (eds.)

ISBN-10: 3642285570

ISBN-13: 9783642285578

This publication constitutes the completely refereed post-conference lawsuits of the 3rd overseas Workshop on Computational and scientific functions in stomach Imaging, held along with MICCAI 2011, in Toronto, Canada, on September 18, 2011. The 33 revised complete papers provided have been conscientiously reviewed and chosen from forty submissions. The papers are equipped in topical sections on digital colonoscopy and CAD, stomach intervention, and computational stomach anatomy.

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By Holger R. Roth, Thomas E. Hampshire, Jamie R. McClelland, Mingxing Hu, Darren J. Boone (auth.), Hiroyuki Yoshida, Georgios Sakas, Marius George Linguraru (eds.)

ISBN-10: 3642285570

ISBN-13: 9783642285578

This publication constitutes the completely refereed post-conference lawsuits of the 3rd overseas Workshop on Computational and scientific functions in stomach Imaging, held along with MICCAI 2011, in Toronto, Canada, on September 18, 2011. The 33 revised complete papers provided have been conscientiously reviewed and chosen from forty submissions. The papers are equipped in topical sections on digital colonoscopy and CAD, stomach intervention, and computational stomach anatomy.

Show description

Read or Download Abdominal Imaging. Computational and Clinical Applications: Third International Workshop, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 18, 2011, Revised Selected Papers PDF

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Extra info for Abdominal Imaging. Computational and Clinical Applications: Third International Workshop, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 18, 2011, Revised Selected Papers

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5 Conclusion We compared the performance of RF and SVM classifiers in the detection of colorectal lesions in CAD for CTC by using large, independent multi-center CTC patient populations. The results indicate that the performance of the RF classifier compares favorably with that of the popular SVM classifier in the detection of advanced lesions in CTC. Therefore, RF classifiers may be useful in improving the detection accuracy of CAD in CTC. Acknowledgments. The project described was partly supported by a grant from the Prevent Cancer Foundation and Grant Numbers R21CA140934, R03CA139600, R01CA095279, and R01CA131718 from National Cancer Institute (NCI).

Imaging 18, 946–956 (1999) 14. : Level Set Evolution with Region Competition: Automatic 3-D Segmentation of Brain Tumors. In: Proceedings of 16th International Conference on Pattern Recognition, pp. 532–535 (2002) Computer-Aided Polyp Detection for Laxative-Free CT Colonography Neil Panjwani1, Marius George Linguraru1, Joel G. Fletcher2, and Ronald M. com Abstract. Image-based colon cleansing performed on fecal-tagged CT colonography (CTC) allows the laxative-free detection of colon polyps, unlike optical colonoscopy (OC), the preferred screening method.

Let us denote a color component ci belonging to a set of random variables {ci ∈ x|ci = [R, G, B]}. Fig. 1(a) shows the distribution x in RGB color space, as indexed in the work by Vu et al. [15]. Given an input x, the SOM in an unsupervised manner generates a 2-D map for clustering the color components ci . , ci ranges from pinkish to yellowish). In this study, the SOM technique is deployed as a two-stage scheme. The first stage is to construct a coarse map in order to label groups of ci easily.

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Abdominal Imaging. Computational and Clinical Applications: Third International Workshop, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 18, 2011, Revised Selected Papers by Holger R. Roth, Thomas E. Hampshire, Jamie R. McClelland, Mingxing Hu, Darren J. Boone (auth.), Hiroyuki Yoshida, Georgios Sakas, Marius George Linguraru (eds.)


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