Title :
Computer-aided detection of polyps in CT colonography: Performance evaluation in comparison with human readers based on large multicenter clinical trial cases
Author :
Yoshida, H. ; Näppi, J. ; Cai, Wenli
Author_Institution :
Med. Sch., Dept. of Radiol., Harvard Univ., Boston, MA, USA
fDate :
June 28 2009-July 1 2009
Abstract :
CT colonography (CTC), also known as virtual colonoscopy, is a promising alternative technique for providing mass screening for colorectal carcinoma. In this study, we developed a high-performance CAD scheme that automatically detects suspicious polyps in CTC data, and retrospectively compared its performance with that of prospective unaided human CTC reading in the detection of clinically significant adenomas/carcinomas by use of CTC database consisting of cases from two large multicenter clinical trials.
Keywords :
biological organs; cancer; computerised tomography; diagnostic radiography; medical image processing; tumours; CAD scheme; CT colonography; CTC database; colorectal carcinoma; computer-aided detection; human readers; multicenter clinical trial cases; polyps detection; virtual colonoscopy; Cancer; Clinical trials; Colon; Colonic polyps; Colonography; Computed tomography; Data mining; Humans; Testing; Virtual colonoscopy; biomedical image processing; computer-aided analysis; object detection; x-ray tomography cancer;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193203
