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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Acar, S. Beaulieu, C.F. Paik, D.S. Gokturk, S.B. Tomasi, C. Yee, J. Napel, S. |
| Copyright Year | 2001 |
| Description | Author affiliation: Dept. of Radiol., Stanford Univ., CA, USA (Acar, S.; Beaulieu, C.F.; Paik, D.S.) |
| Abstract | Most current computer-aided detection (CAD) algorithms for the fully automatic detection of colonic polyps from 3D CT data suffer from high false positive rates. We developed and evaluated a post-processing algorithm to decrease the false positive rate of such a method. Our method attempts to model the way a radiologist recognizes a polyp while scrolling a cross-sectional plane through 3D CT data by quantifying the change in location of the edges in the 2D plane. It uses a classifier for identification based on the Mahalanobis distance. The new method increased the ROC curve area from 0.89 to 0.98 (an increase from 34.5% to 85.0% in specificity for 100% sensitivity) in a population of 8 patients. |
| Starting Page | 2774 |
| Ending Page | 2777 |
| File Size | 453324 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780372115 |
| ISSN | 1094687X |
| DOI | 10.1109/IEMBS.2001.1017360 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-10-25 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image motion analysis Colonic polyps Virtual colonoscopy Computed tomography Colonography Colon Optical sensors Sensitivity Biomedical optical imaging Optical computing |
| Content Type | Text |
| Resource Type | Article |
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