TY  - CONF
EP  - 214
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966495084&doi=10.1109%2fICITEED.2015.7408943&partnerID=40&md5=345218e1cacb832cf1c0b49013ec122f
A1  - Awais, M.
A1  - Walter, N.
A1  - Faye, I.
A1  - Saad, M.N.
A1  - Ramanathan, A.
A1  - Zain, R.M.
SN  - 9781467378635
PB  - Institute of Electrical and Electronics Engineers Inc.
Y1  - 2015///
KW  - Diagnosis; Fluorescence; Image analysis; Image segmentation
KW  -  Automatic Detection; Contrast stretching; Detection and diagnosis; Fluorescence image; Malignant disease; Oral cancer; Oral cavity; Sensitivity and specificity
KW  -  Image processing
SP  - 209
TI  - Analysis of auto-fluorescence images for automatic detection of abnormalities in oral cavity
ID  - scholars6109
N2  - 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.
N1  - 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
AV  - none
ER  -