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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Constantinou, I.P. Koumourou, C.A. Neofytou, M.S. Tanos, V. Pattichis, C.S. Kyriakou, E.C. |
| Copyright Year | 2009 |
| Description | Author affiliation: Aretaeio Hospital, Nicosia, Cyprus (Tanos, V.) || MedTechSol (Medical Technology Solutions) Ltd, Nicosia Cyprus (Koumourou, C.A.) || Department of Computer Science, University of Cyprus, Nicosia, Cyprus (Pattichis, C.S.) || MedTechSol (Medical Technology Solutions) Ltd, Nicosia, Cyprus and with the Department of Computer Science, University of Cyprus, Cyprus (Constantinou, I.P.; Neofytou, M.S.) || Department of Computer Science and Engeneering, Frederick University, Nicosia, Cyprus (Kyriakou, E.C.) |
| Abstract | In this study we present an integrated system for supporting the diagnosis of endometrial cancer. The system consists of an electronic patient record that incoporates a hysteroscopy imaging CAD system for the early detection of endometrial cancer. The electronic patient record is based on information collected from: appointments, patient info, hysteroscopy reporting and pharmacy. The CAD system is based on ROI manual or semi-automated extraction, texture feature computation and SVM and C4.5 classification into normal/abnormal. The highest percentage of correct classifications score (%CC) for the SVM classifier was 79% for the YCrCb color system using the SF+SGLDS texture feature sets for differentiating between normal vs abnormal ROIs. The C4.5 algorithm gave slightly lower classification scores, but also classification rules. The proposed system offers an integrated platform to the physician for assessing suspicious areas of endometrial cancer. However, further work is needed to validate the system with more cases and more users of the prototype. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 14619399 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424453795 |
| DOI | 10.1109/ITAB.2009.5394424 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-04 |
| Publisher Place | Cyprus |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cancer Lesions Colon Pattern classification Colonoscopy Endoscopes Colonic polyps Histograms Information technology Diseases |
| Content Type | Text |
| Resource Type | Article |
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