DocumentCode
134654
Title
SKINcure: A real time image analysis system to aid in the malignant melanoma prevention and early detection
Author
Abuzaghleh, Omar ; Barkana, Buket D. ; Faezipour, Miad
Author_Institution
Univ. of Bridgeport, Bridgeport, CT, USA
fYear
2014
fDate
6-8 April 2014
Firstpage
85
Lastpage
88
Abstract
Melanoma incidence rates have been increasing for the past three decades. The most important risk factor for Melanoma skin cancer is unprotected exposure to UV radiation. However, early diagnosis of malignant melanoma increases the chances for cure significantly. Therefore a real time image analysis system to aid in the malignant melanoma prevention and early detection is highly in-demand. In this paper, we propose a real time image analysis system to aid in the malignant melanoma prevention and early detection. We present an image recognition technique, where the user will be able to capture skin images of different mole types. Our system will analyze and process the images and alert the user at real-time to seek medical help urgently. This work introduces convenient steps for automating the process of melanoma prevention and detection. Experimental results on a PH2 dermoscopy research database images confirms the efficiency of our system.
Keywords
cancer; image recognition; medical image processing; skin; PH2 dermoscopy research database image; SKINcure; UV radiation; image recognition; malignant melanoma early detection; malignant melanoma prevention; melanoma incidence rate; melanoma skin cancer; real time image analysis system; risk factor; Benchmark testing; Cancer; Fourier transforms; Indexes; Medical diagnostic imaging; Standards; Image segmentation; lesion classifier; melanoma recognition; skin cancer;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Interpretation (SSIAI), 2014 IEEE Southwest Symposium on
Conference_Location
San Diego, CA
Type
conf
DOI
10.1109/SSIAI.2014.6806035
Filename
6806035
Link To Document