Literature DB >> 21592915

Detection of small bowel polyps and ulcers in wireless capsule endoscopy videos.

Alexandros Karargyris1, Nikolaos Bourbakis.   

Abstract

Over the last decade, wireless capsule endoscopy (WCE) technology has become a very useful tool for diagnosing diseases within the human digestive tract. Physicians using WCE can examine the digestive tract in a minimally invasive way searching for pathological abnormalities such as bleeding, polyps, ulcers, and Crohn's disease. To improve effectiveness of WCE, researchers have developed software methods to automatically detect these diseases at a high rate of success. This paper proposes a novel synergistic methodology for automatically discovering polyps (protrusions) and perforated ulcers in WCE video frames. Finally, results of the methodology are given and statistical comparisons are also presented relevant to other works.

Entities:  

Mesh:

Year:  2011        PMID: 21592915     DOI: 10.1109/TBME.2011.2155064

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  19 in total

Review 1.  Software for enhanced video capsule endoscopy: challenges for essential progress.

Authors:  Dimitris K Iakovidis; Anastasios Koulaouzidis
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2015-02-17       Impact factor: 46.802

2.  An Automated Self-Learning Quantification System to Identify Visible Areas in Capsule Endoscopy Images.

Authors:  Shinichi Hashimoto; Hiroyuki Ogihara; Masato Suenaga; Yusuke Fujita; Shuji Terai; Yoshihiko Hamamoto; Isao Sakaida
Journal:  J Med Syst       Date:  2017-07-07       Impact factor: 4.460

3.  Wireless capsule endoscopy video reduction based on camera motion estimation.

Authors:  Hong Liu; Ning Pan; Heng Lu; Enmin Song; Qian Wang; Chih-Cheng Hung
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

4.  Automated bleeding detection in capsule endoscopy videos using statistical features and region growing.

Authors:  Sonu Sainju; Francis M Bui; Khan A Wahid
Journal:  J Med Syst       Date:  2014-04-03       Impact factor: 4.460

Review 5.  Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis.

Authors:  Hye Jin Kim; Eun Jeong Gong; Chang Seok Bang; Jae Jun Lee; Ki Tae Suk; Gwang Ho Baik
Journal:  J Pers Med       Date:  2022-04-17

Review 6.  Application Status and Prospects of Artificial Intelligence in Peptic Ulcers.

Authors:  Peng-Yue Zhao; Ke Han; Ren-Qi Yao; Chao Ren; Xiao-Hui Du
Journal:  Front Surg       Date:  2022-06-16

Review 7.  Gastrointestinal diagnosis using non-white light imaging capsule endoscopy.

Authors:  Gerard Cummins; Benjamin F Cox; Gastone Ciuti; Thineskrishna Anbarasan; Marc P Y Desmulliez; Sandy Cochran; Robert Steele; John N Plevris; Anastasios Koulaouzidis
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2019-07       Impact factor: 46.802

8.  GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases.

Authors:  Omneya Attallah; Maha Sharkas
Journal:  PeerJ Comput Sci       Date:  2021-03-10

Review 9.  Artificial Intelligence Applied to Gastrointestinal Diagnostics: A Review.

Authors:  Vatsal Patel; Marium N Khan; Aman Shrivastava; Kamran Sadiq; S Asad Ali; Sean R Moore; Donald E Brown; Sana Syed
Journal:  J Pediatr Gastroenterol Nutr       Date:  2020-01       Impact factor: 3.288

Review 10.  Artificial intelligence in small intestinal diseases: Application and prospects.

Authors:  Yu Yang; Yu-Xuan Li; Ren-Qi Yao; Xiao-Hui Du; Chao Ren
Journal:  World J Gastroenterol       Date:  2021-07-07       Impact factor: 5.742

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