Literature DB >> 28561195

Computer-aided diagnosis for colonoscopy.

Yuichi Mori1, Shin-Ei Kudo1, Tyler M Berzin2, Masashi Misawa1, Kenichi Takeda1.   

Abstract

Mesh:

Year:  2017        PMID: 28561195      PMCID: PMC6193286          DOI: 10.1055/s-0043-109430

Source DB:  PubMed          Journal:  Endoscopy        ISSN: 0013-726X            Impact factor:   10.093


× No keyword cloud information.
  24 in total

1.  Computer-based classification of small colorectal polyps by using narrow-band imaging with optical magnification.

Authors:  Sebastian Gross; Christian Trautwein; Alexander Behrens; Ron Winograd; Stephan Palm; Holger H Lutz; Ramin Schirin-Sokhan; Hartmut Hecker; Til Aach; Jens J W Tischendorf
Journal:  Gastrointest Endosc       Date:  2011-10-13       Impact factor: 9.427

2.  Quantitative analysis and development of a computer-aided system for identification of regular pit patterns of colorectal lesions.

Authors:  Yoshito Takemura; Shigeto Yoshida; Shinji Tanaka; Keiichi Onji; Shiro Oka; Toru Tamaki; Kazufumi Kaneda; Masaharu Yoshihara; Kazuaki Chayama
Journal:  Gastrointest Endosc       Date:  2010-11       Impact factor: 9.427

Review 3.  Can computer-aided detection be detrimental to mammographic interpretation?

Authors:  Liane E Philpotts
Journal:  Radiology       Date:  2009-10       Impact factor: 11.105

4.  Characterization of Colorectal Lesions Using a Computer-Aided Diagnostic System for Narrow-Band Imaging Endocytoscopy.

Authors:  Masashi Misawa; Shin-Ei Kudo; Yuichi Mori; Hiroki Nakamura; Shinichi Kataoka; Yasuharu Maeda; Toyoki Kudo; Takemasa Hayashi; Kunihiko Wakamura; Hideyuki Miyachi; Atsushi Katagiri; Toshiyuki Baba; Fumio Ishida; Haruhiro Inoue; Yukitaka Nimura; Kensaku Mori
Journal:  Gastroenterology       Date:  2016-04-09       Impact factor: 22.682

5.  Adenoma miss rates associated with a 3-minute versus 6-minute colonoscopy withdrawal time: a prospective, randomized trial.

Authors:  Sheila Kumar; Nirav Thosani; Uri Ladabaum; Shai Friedland; Ann M Chen; Rajan Kochar; Subhas Banerjee
Journal:  Gastrointest Endosc       Date:  2016-12-06       Impact factor: 9.427

6.  Computer-aided diagnosis of neoplastic colorectal lesions using 'real-time' numerical color analysis during autofluorescence endoscopy.

Authors:  Hiroyuki Aihara; Shoichi Saito; Hiroko Inomata; Daisuke Ide; Naoto Tamai; Tomohiko R Ohya; Tomohiro Kato; Shigeki Amitani; Hisao Tajiri
Journal:  Eur J Gastroenterol Hepatol       Date:  2013-04       Impact factor: 2.566

7.  Exploring the clinical potential of an automatic colonic polyp detection method based on the creation of energy maps.

Authors:  Glòria Fernández-Esparrach; Jorge Bernal; Maria López-Cerón; Henry Córdova; Cristina Sánchez-Montes; Cristina Rodríguez de Miguel; Francisco Javier Sánchez
Journal:  Endoscopy       Date:  2016-06-10       Impact factor: 10.093

8.  In vivo real-time assessment of colorectal polyp histology using an optical biopsy forceps system based on laser-induced fluorescence spectroscopy.

Authors:  Timo Rath; Gian E Tontini; Michael Vieth; Andreas Nägel; Markus F Neurath; Helmut Neumann
Journal:  Endoscopy       Date:  2016-03-23       Impact factor: 10.093

9.  Efficacy of a novel auto-fluorescence imaging system with computer-assisted color analysis for assessment of colorectal lesions.

Authors:  Hiroko Inomata; Naoto Tamai; Hiroyuki Aihara; Kazuki Sumiyama; Shoichi Saito; Tomohiro Kato; Hisao Tajiri
Journal:  World J Gastroenterol       Date:  2013-11-07       Impact factor: 5.742

10.  Computer-aided classification of colorectal polyps based on vascular patterns: a pilot study.

Authors:  J J W Tischendorf; S Gross; R Winograd; H Hecker; R Auer; A Behrens; C Trautwein; T Aach; T Stehle
Journal:  Endoscopy       Date:  2010-01-25       Impact factor: 10.093

View more
  20 in total

1.  Robotics, artificial intelligence and distributed ledgers in surgery: data is key!

Authors:  M Chand; N Ramachandran; D Stoyanov; L Lovat
Journal:  Tech Coloproctol       Date:  2018-09-21       Impact factor: 3.781

2.  A coaxial excitation, dual-red-green-blue/near-infrared paired imaging system toward computer-aided detection of parathyroid glands in situ and ex vivo.

Authors:  Yoseph Kim; Hun Chan Lee; Jongchan Kim; Eugene Oh; Jennifer Yoo; Bo Ning; Seung Yup Lee; Khalid Mohamed Ali; Ralph P Tufano; Jonathon O Russell; Jaepyeong Cha
Journal:  J Biophotonics       Date:  2022-04-20       Impact factor: 3.390

Review 3.  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

Review 4.  Artificial Intelligence Enhances Studies on Inflammatory Bowel Disease.

Authors:  Guihua Chen; Jun Shen
Journal:  Front Bioeng Biotechnol       Date:  2021-07-08

Review 5.  Application of Artificial Intelligence in the Detection and Differentiation of Colon Polyps: A Technical Review for Physicians.

Authors:  Wei-Lun Chao; Hanisha Manickavasagan; Somashekar G Krishna
Journal:  Diagnostics (Basel)       Date:  2019-08-20

6.  Automated Classification of Colorectal Neoplasms in White-Light Colonoscopy Images via Deep Learning.

Authors:  Young Joo Yang; Bum-Joo Cho; Myung-Je Lee; Ju Han Kim; Hyun Lim; Chang Seok Bang; Hae Min Jeong; Ji Taek Hong; Gwang Ho Baik
Journal:  J Clin Med       Date:  2020-05-24       Impact factor: 4.241

7.  Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves "Resect and Discard" Thresholds.

Authors:  Robin Zachariah; Jason Samarasena; Daniel Luba; Erica Duh; Tyler Dao; James Requa; Andrew Ninh; William Karnes
Journal:  Am J Gastroenterol       Date:  2020-01       Impact factor: 12.045

Review 8.  Artificial intelligence in gastrointestinal endoscopy: The future is almost here.

Authors:  Muthuraman Alagappan; Jeremy R Glissen Brown; Yuichi Mori; Tyler M Berzin
Journal:  World J Gastrointest Endosc       Date:  2018-10-16

9.  Polyp detection with computer-aided diagnosis in white light colonoscopy: comparison of three different methods.

Authors:  Pedro N Figueiredo; Isabel N Figueiredo; Luís Pinto; Sunil Kumar; Yen-Hsi Richard Tsai; Alexander V Mamonov
Journal:  Endosc Int Open       Date:  2019-01-18

10.  The role of AI technology in prediction, diagnosis and treatment of colorectal cancer.

Authors:  Chaoran Yu; Ernest Johann Helwig
Journal:  Artif Intell Rev       Date:  2021-07-04       Impact factor: 8.139

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.