Copy For Citation
Tulum G., Bolat B., Osman O.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, vol.12, pp.627-644, 2017 (SCI-Expanded)
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Publication Type:
Article / Article
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Volume:
12
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Publication Date:
2017
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Doi Number:
10.1007/s11548-017-1521-9
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Journal Name:
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
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Journal Indexes:
Science Citation Index Expanded (SCI-EXPANDED), Scopus
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Page Numbers:
pp.627-644
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Keywords:
Polyp detection, Computer-aided detection, Colon segmentation, Computed tomography images, COMPUTER-AIDED DETECTION, FALSE POSITIVES, COLONOGRAPHY, REDUCTION, CLASSIFICATION, DIAGNOSIS, SCHEME
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Yıldız Technical University Affiliated:
Yes
Abstract
Computer-aided detection (CAD) systems are developed to help radiologists detect colonic polyps over CT scans. It is possible to reduce the detection time and increase the detection accuracy rates by using CAD systems. In this paper, we aimed to develop a fully integrated CAD system for automated detection of polyps that yields a high polyp detection rate with a reasonable number of false positives.