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DimensionsAwais, M. and Walter, N. and Faye, I. and Saad, M.N. and Ramanathan, A. and Zain, R.M. (2015) Analysis of auto-fluorescence images for automatic detection of abnormalities in oral cavity. In: UNSPECIFIED.
Full text not available from this repository.Abstract
Oral Potential Malignant Disease (OPMD) is a growing and significant health problem all over the world. OPMDs have the potential to lead to oral cancer. The detection and diagnosis of these OPMDs in their early phases is a challenging task for clinicians. This paper focuses on the identification of OPMDs in visually enhanced lesion scope (VELscope) images using the contrast stretching technique. The parameters of the contrast stretching technique have been set automatically based on a statistical analysis of a set of images. The results show a better differentiation of OPMDs from the normal region. The proposed technique has shown a higher (greater than 90) accuracy, sensitivity and specificity. © 2015 IEEE.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | cited By 4; Conference of 7th International Conference on Information Technology and Electrical Engineering, ICITEE 2015 ; Conference Date: 29 October 2015 Through 30 October 2015; Conference Code:119463 |
| Uncontrolled Keywords: | Diagnosis; Fluorescence; Image analysis; Image segmentation, Automatic Detection; Contrast stretching; Detection and diagnosis; Fluorescence image; Malignant disease; Oral cancer; Oral cavity; Sensitivity and specificity, Image processing |
| Depositing User: | Mr Ahmad Suhairi UTP |
| Date Deposited: | 09 Nov 2023 16:17 |
| Last Modified: | 09 Nov 2023 16:17 |
| URI: | https://khub.utp.edu.my/scholars/id/eprint/6109 |
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