Journal ArticleDOI
Colon polyp detection using smoothed shape operators: Preliminary results
TLDR
The smoothed shape operators method (SSO) is presented, which uses a geometry processing approach to extract a triangle mesh representation of the colon surface, and estimate curvature on this surface using the shape operator.About:Â
This article is published in Medical Image Analysis.The article was published on 2008-04-01. It has received 55 citations till now. The article focuses on the topics: Curvature.read more
Citations
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Proceedings Article
Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Posted Content
Computer-Aided Colorectal Tumor Classification in NBI Endoscopy Using CNN Features
Toru Tamaki,Shoji Sonoyama,Tsubasa Hirakawa,Bisser Raytchev,Kazufumi Kaneda,Tetsushi Koide,Shigeto Yoshida,Hiroshi Mieno,Shinji Tanaka +8 more
TL;DR: A recognition system for classifying NBI images of colorectal tumors into three types (A, B, and C3) based on the NBI magnification findings achieves a recognition rate of 96% for 10-fold cross validation on a real dataset of 908 N BI images collected during actual colonoscopy, and 93% for a separate test dataset.
Journal ArticleDOI
Computer-aided colorectal tumor classification in NBI endoscopy using local features.
Toru Tamaki,Junki Yoshimuta,Misato Kawakami,Bisser Raytchev,Kazufumi Kaneda,Shigeto Yoshida,Yoshito Takemura,Keiichi Onji,Rie Miyaki,Shinji Tanaka +9 more
TL;DR: In this article, a bag-of-visual-words (BoW) representation of local features was used to classify NBI images of colorectal tumors into three types (A, B, and C3) based on the NBI magnification findings.
Journal ArticleDOI
Real-time gastric polyp detection using convolutional neural networks.
Xu Zhang,Fei Chen,Tao Yu,Jiye An,Zhengxing Huang,Jiquan Liu,Weiling Hu,Weiling Hu,Liangjing Wang,Huilong Duan,Jianmin Si,Jianmin Si +11 more
TL;DR: A convolutional neural network for polyp detection that is constructed based on Single Shot MultiBox Detector architecture and which is called SSD for Gastric Polyps (SSD-GPNet) has excellent performance and can help endoscopic physicians more easily find missed polyps and decrease the gastric polyp miss rate.
Journal ArticleDOI
Computer-assisted reader software versus expert reviewers for polyp detection on CT colonography.
Stuart A. Taylor,Steve Halligan,David Burling,M Roddie,Lesley Honeyfield,Justine McQuillan,Hamdam Amin,Jamshid Dehmeshki +7 more
TL;DR: ColonCAR version 1.2 has a synergistic effect to the reviewer alone, and its standalone performance may exceed even that of experts, with a clinically acceptable false-positive rate.
References
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Proceedings ArticleDOI
Marching cubes: A high resolution 3D surface construction algorithm
TL;DR: In this paper, a divide-and-conquer approach is used to generate inter-slice connectivity, and then a case table is created to define triangle topology using linear interpolation.
Journal ArticleDOI
Cancer statistics, 2006.
Ahmedin Jemal,Rebecca L. Siegel,Elizabeth Ward,Taylor Murray,Jiaquan Xu,Carol Smigal,Michael J. Thun +6 more
TL;DR: The American Cancer Society estimated the number of new cancer cases and deaths expected in the United States in the current year and compiles the most recent data on cancer incidence, mortality, and survival based on incidence data from the National Cancer Institute and mortality data from National Center for Health Statistics as discussed by the authors.
Journal ArticleDOI
Prevention of colorectal cancer by colonoscopic polypectomy. The National Polyp Study Workgroup.
Sidney J. Winawer,A G Zauber,M N Ho,Michael J. O'Brien,Leonard S. Gottlieb,S S Sternberg,Jerome D. Waye,Melvin Schapiro,John H. Bond,Joel F. Panish +9 more
TL;DR: The results of the National Polyp Study support the view that colorectal adenomas progress to adenocarcinomas, as well as the current practice of searching for and removing adenomatous polyps to prevent coloreCTal cancer.
Proceedings ArticleDOI
A volumetric method for building complex models from range images
Brian Curless,Marc Levoy +1 more
TL;DR: This paper presents a volumetric method for integrating range images that is able to integrate a large number of range images yielding seamless, high-detail models of up to 2.6 million triangles.
Proceedings ArticleDOI
Topology matching for fully automatic similarity estimation of 3D shapes
TL;DR: A novel technique is proposed, called Topology Matching, in which similarity between polyhedral models is quickly, accurately, and automatically calculated by comparing Multiresolutional Reeb Graphs (MRGs), which operates well as a search key for 3D shape data sets.
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