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

Gastrointestinal Endoscopy

Volumn 72, Issue 5, 2010, Pages 1047-1051

  Takemura, Yoshito ^a   Yoshida, Shigeto ^b   Tanaka, Shinji ^b   Onji, Keiichi ^a   Oka, Shiro ^b   Tamaki, Toru ^c   Kaneda, Kazufumi ^c   Yoshihara, Masaharu ^d   Chayama, Kazuaki ^a  

^a Department of Medicine and Molecular Science   (United States)

^b HIROSHIMA UNIVERSITY HOSPITAL   (Japan)

^c Graduate School of Engineering   (United States)

^d HIROSHIMA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUTOMATION; CLINICAL ARTICLE; CLINICAL EVALUATION; COLORECTAL DISEASE; COLORECTAL LESION; COLORECTAL TUMOR; COMPUTER PROGRAM; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DISEASE CLASSIFICATION; HUMAN; MEDICAL EXPERT; PIT PATTERN CLASSIFICATION; PRIORITY JOURNAL; PRODUCT DEVELOPMENT; QUANTITATIVE ANALYSIS; WHITE LIGHT ENDOSCOPY;

COHORT STUDIES; COLORECTAL NEOPLASMS; ENDOSCOPY, GASTROINTESTINAL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; SOFTWARE DESIGN; SOFTWARE VALIDATION;

EID: 78049350726     PISSN: 00165107     EISSN: 10976779     Source Type: Journal    
DOI: 10.1016/j.gie.2010.07.037     Document Type: Article

References (3)

1. S. Tanaka, T. Kaltenbach, and K. Chayama High-magnification colonoscopy (with videos) Gastrointest Endosc 64 2006 604 613
2. K.I. Fu, Y. Sano, and T. Fujii Chromoendoscopy using indigo carmine dye spraying with magnifying observation is the most reliable method for differential diagnosis between non-neoplastic and neoplastic colorectal lesions: a prospective study Endoscopy 36 2004 1089 1093
3. M. Hirota, T. Tamaki, and K. Kaneda Feature extraction from images of endoscopic large intestine Proceedings of FCV2008; The 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision 01 2008 94 99