Literature DB >> 21096596

Automatic colon polyp flagging via geometric and texture features.

Marcelo Fiori1, Pablo Musé, Sergio Aguirre, Guillermo Sapiro.   

Abstract

Computer Tomographic Colonography, combined with computer-aided detection (CAD), is a promising emerging technique for colonic polyp analysis. We present a CAD scheme for polyp flagging based on new texture and geometric features that consider both the information in the candidate polyp location and its immediate surrounding area, testing multiple sizes. The proposed algorithm is tested with ground truth data, including flat and small polyps, with very promising results.

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Year:  2010        PMID: 21096596     DOI: 10.1109/IEMBS.2010.5627185

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  3 in total

1.  ROC operating point selection for classification of imbalanced data with application to computer-aided polyp detection in CT colonography.

Authors:  Bowen Song; Guopeng Zhang; Wei Zhu; Zhengrong Liang
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-01       Impact factor: 2.924

2.  Volumetric texture features from higher-order images for diagnosis of colon lesions via CT colonography.

Authors:  Bowen Song; Guopeng Zhang; Hongbing Lu; Huafeng Wang; Wei Zhu; Perry J Pickhardt; Zhengrong Liang
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-04-03       Impact factor: 2.924

Review 3.  Multi-scale characterizations of colon polyps via computed tomographic colonography.

Authors:  Weiguo Cao; Marc J Pomeroy; Yongfeng Gao; Matthew A Barish; Almas F Abbasi; Perry J Pickhardt; Zhengrong Liang
Journal:  Vis Comput Ind Biomed Art       Date:  2019-12-27
  3 in total

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