Literature DB >> 17354769

Symmetric curvature patterns for colonic polyp detection.

Anna Jerebko1, Sarang Lakare, Pascal Cathier, Senthil Periaswamy, Luca Bogoni.   

Abstract

A novel approach for generating a set of features derived from properties of patterns of curvature is introduced as a part of a computer aided colonic polyp detection system. The resulting sensitivity was 84% with 4.8 false positives per volume on an independent test set of 72 patients (56 polyps). When used in conjunction with other features, it allowed the detection system to reach an overall sensitivity of 94% with a false positive rate of 4.3 per volume.

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Year:  2006        PMID: 17354769     DOI: 10.1007/11866763_21

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  3 in total

1.  Massive-training support vector regression and Gaussian process for false-positive reduction in computer-aided detection of polyps in CT colonography.

Authors:  Jian-Wu Xu; Kenji Suzuki
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

2.  Medical Image Classification Based on Information Interaction Perception Mechanism.

Authors:  Wei Wang; Yihui Hu; Yanhong Luo; Xin Wang
Journal:  Comput Intell Neurosci       Date:  2021-12-06

Review 3.  Artificial intelligence technologies for the detection of colorectal lesions: The future is now.

Authors:  Simona Attardo; Viveksandeep Thoguluva Chandrasekar; Marco Spadaccini; Roberta Maselli; Harsh K Patel; Madhav Desai; Antonio Capogreco; Matteo Badalamenti; Piera Alessia Galtieri; Gaia Pellegatta; Alessandro Fugazza; Silvia Carrara; Andrea Anderloni; Pietro Occhipinti; Cesare Hassan; Prateek Sharma; Alessandro Repici
Journal:  World J Gastroenterol       Date:  2020-10-07       Impact factor: 5.742

  3 in total

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