Literature DB >> 15559125

Computer-aided diagnosis for CT colonography.

Hiroyuki Yoshida1, Abraham H Dachman.   

Abstract

CT colonography, or virtual colonoscopy, is a promising alternative screening tool for colon cancer. Computer-aided diagnosis (CAD) for CT colonography has the potential to increase radiologists' diagnostic performance in the detection of polyps and to reduce variability of the diagnostic accuracy among readers. Technical developments have advanced CAD for CT colonography substantially during the last several years. This paper describes the key techniques used for CAD for detection of polyps and masses in CT colonography, the current detection performance, and challenges and the future of CAD.

Entities:  

Mesh:

Year:  2004        PMID: 15559125     DOI: 10.1053/j.sult.2004.07.002

Source DB:  PubMed          Journal:  Semin Ultrasound CT MR        ISSN: 0887-2171            Impact factor:   1.875


  8 in total

Review 1.  Recent progress in computer-aided diagnosis of lung nodules on thin-section CT.

Authors:  Qiang Li
Journal:  Comput Med Imaging Graph       Date:  2007-03-21       Impact factor: 4.790

Review 2.  Computer-aided diagnosis in medical imaging: historical review, current status and future potential.

Authors:  Kunio Doi
Journal:  Comput Med Imaging Graph       Date:  2007-03-08       Impact factor: 4.790

3.  CT colonography computer-aided polyp detection: Effect on radiologist observers of polyp identification by CAD on both the supine and prone scans.

Authors:  Ronald M Summers; Jiamin Liu; Bhavya Rehani; Phillip Stafford; Linda Brown; Adeline Louie; Duncan S Barlow; Donald W Jensen; Brooks Cash; J Richard Choi; Perry J Pickhardt; Nicholas Petrick
Journal:  Acad Radiol       Date:  2010-06-12       Impact factor: 3.173

4.  Electronic cleansing for CT colonography: does it help CAD software performance in a high-risk population for colorectal cancer?

Authors:  Jae Yeon Wi; Se Hyung Kim; Jae Young Lee; Sang Gyun Kim; Joon Koo Han; Byung Ihn Choi
Journal:  Eur Radiol       Date:  2010-03-23       Impact factor: 5.315

5.  A review of computer-aided diagnosis in thoracic and colonic imaging.

Authors:  Kenji Suzuki
Journal:  Quant Imaging Med Surg       Date:  2012-09

6.  Comparative performance of a primary-reader and second-reader paradigm of computer-aided detection for CT colonography in a low-prevalence screening population.

Authors:  Mototaka Miyake; Gen Iinuma; Stuart A Taylor; Steve Halligan; Tsuyoshi Morimoto; Tamaki Ichikawa; Hideto Tomimatsu; Gareth Beddoe; Kazuro Sugimura; Yasuaki Arai
Journal:  Jpn J Radiol       Date:  2013-02-19       Impact factor: 2.374

7.  Effect of computer-aided detection as a second reader in multidetector-row CT colonography.

Authors:  Thomas Mang; Philipp Peloschek; Christina Plank; Andrea Maier; Anno Graser; Michael Weber; Christian Herold; Luca Bogoni; Wolfgang Schima
Journal:  Eur Radiol       Date:  2007-03-10       Impact factor: 7.034

8.  AI-based localization and classification of skin disease with erythema.

Authors:  Ha Min Son; Wooho Jeon; Jinhyun Kim; Chan Yeong Heo; Hye Jin Yoon; Ji-Ung Park; Tai-Myoung Chung
Journal:  Sci Rep       Date:  2021-03-05       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.