By Thomas E. Hampshire, Holger R. Roth, Darren J. Boone, Greg Slabaugh, Steve Halligan (auth.), Hiroyuki Yoshida, David Hawkes, Michael W. Vannier (eds.)
ISBN-10: 3642336116
ISBN-13: 9783642336119
ISBN-10: 3642336124
ISBN-13: 9783642336126
This publication constitutes the refereed court cases of the overseas Workshop CCAAI 2012, held in great, France, in October 2012. The e-book contains 31 papers which have been conscientiously reviewed and chosen from 37 submissions. the entire permitted papers have been revised by means of incorporating of the reviewers’ reviews and re-submitted by means of the authors to be incorporated during this lawsuits quantity. The papers are equipped into topical sections on colon and different gastrointestinal tract; and liver, kidney, and different organs.
Read Online or Download Abdominal Imaging. Computational and Clinical Applications: 4th International Workshop, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings PDF
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Extra resources for Abdominal Imaging. Computational and Clinical Applications: 4th International Workshop, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings
Example text
C Springer-Verlag Berlin Heidelberg 2012 Adaptive Volumetric Detection of Lesions 31 Computer-aided detection (CAD), that indicates locations of lesions in CTC images automatically to radiologists, can be used to increase the detection sensitivity and consistency of CTC examinations [2,26]. Most CAD schemes have been developed for conventional CTC, where the patients are prepared with full cathartic bowel cleansing. Most of these CAD schemes tend to miss many small polyps (6 – 9 mm in size) [8] and flat lesions [12], and they display many falsepositive (FP) detections [20].
Output: The metric U of M. 1. Assign a circle at vertex vi with radius ri ; For each edge [vi , v j ], two circles intersect at an angle φi j , called edge weight. 2. The edge length li j of [vi , v j ] is determined by the cosine law: li2j = ri2 + r2j − 2ri r j cosφi j jk 3. The angle θi , related to each corner , is determined by the current edge lengths with the inverse hyperbolic cosine law. 4. Compute the discrete Gaussian curvature Ki of each vertex vi : jk Ki = 2π − ∑ fi jk ∈F θi , interior vertex jk π − ∑ fi jk ∈F θi , boundary vertex (2) jk where θi represents the corner angle attached to vertex vi in the face fi jk 5.
5. Cut M along min{pl } and fill the 2 holes appeared, get M. 6. If M¯ is not genus 0, goto step 1. noise. As our method find tiny handles based on surface topology and remove them one by one, the final surface is guaranteed to be genus 0. The pipeline is like the following: The idea of efficient topological de-noise algorithm is like following: we can compute the shortest loop goes though vertex v for all the vertices in mesh M, then find the shortest one among them, it must be the shortest handle loop in M.
Abdominal Imaging. Computational and Clinical Applications: 4th International Workshop, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings by Thomas E. Hampshire, Holger R. Roth, Darren J. Boone, Greg Slabaugh, Steve Halligan (auth.), Hiroyuki Yoshida, David Hawkes, Michael W. Vannier (eds.)
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