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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Schaefer, G. Rajab, M.I. Celebi, M.E. Iyatomi, H. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Computer Science, Louisiana State University, Shreveport, USA (Celebi, M.E.) || Department of Science, Loughborough University, U.K. (Schaefer, G.) || Department of Electrical Informatics, Hosei University, Tokyo, Japan (Iyatomi, H.) || Department of Computer Engineering, Umm Al-Qura University, Makkah, Saudi Arabia (Rajab, M.I.) |
| Abstract | Lesion segmentation is an important step in analysing dermoscopic skin lesion images. In this paper we achieve accurate lesion segmentation using a co-operative neural network-based edge detection approach coupled with a pre-processing step that enhances colour information and contrast of the images. Extensive experiments are carried out on a dataset of 100 dermoscopic images with known ground truths obtained from three expert dermatologists. The results show that our approach is capable of providing good segmentation performance while the colour enhancement step leads to improved segmentation accuracy. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 4329072 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424453795 |
| DOI | 10.1109/ITAB.2009.5394389 |
| 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 | Skin Lesions Neural networks Image edge detection Image segmentation Image color analysis Image analysis Malignant tumors Pigmentation Cancer neural networks Skin lesion analysis melanoma dermoscopy image segmentation colour enhancement |
| Content Type | Text |
| Resource Type | Article |
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