DocumentCode
2723535
Title
Current concepts in computer-aided detection for ct colonography
Author
Summers, Ronald M.
Author_Institution
Imaging Biomarkers & Comput.-Aided Diagnosis Lab., Nat. Institutes of Health Clinical Center, Bethesda, MD, USA
fYear
2010
fDate
14-17 April 2010
Firstpage
269
Lastpage
272
Abstract
Computer-aided detection (CAD) for CT colonography has been under development for about eleven years. It is now sufficiently accurate that clinically significant polyps 1 cm and larger can be reliably detected with 90% sensitivity. The research focus is now shifting to reducing the number of false positive detections, clinical validation and integrating CAD into clinical practice and applying CAD to the setting of fecal tagging and laxative-free bowel preparations. This is a dynamic research field which requires the use of state-of-the-art image processsing and machine learning techniques.
Keywords
computerised tomography; learning (artificial intelligence); medical image processing; CAD; CT colonography; computer-aided detection; fecal tagging; image processsing; laxative-free bowel; machine learning; Cancer; Colon; Colonic polyps; Feature extraction; Level set; Optical attenuators; Optical scattering; Shape; Testing; Virtual colonoscopy; colorectal cancer; curvature; polyps; shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location
Rotterdam
ISSN
1945-7928
Print_ISBN
978-1-4244-4125-9
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2010.5490363
Filename
5490363
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