Development of a System Classification of Images Dermoscopic for Mobile Devices

Several efforts have been engaged in the development of computer systems that aid in the diagnosis of skin lesions and in particular melanoma. In the present paper presents the development of a dermoscopic image classification system for mobile devices. The system analyzes the skin lesions from the...

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Bibliographic Details
Published inRevista IEEE América Latina Vol. 14; no. 1; pp. 325 - 330
Main Authors Alencar, Francisco Eduardo Silva, Lopes, Danniel Cavalcante, Mendes Neto, Francisco Milton
Format Journal Article
LanguageEnglish
Published Los Alamitos IEEE 01.01.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Artificial Intelligence
Classification
Color
Conduction
Dermoscopic Images
Image Classification
Image segmentation
Internet
Irrigation
Lesions
Malignant tumors
melanoma
MLP Network
Mobile communication systems
Mobile Devices
Mobile handsets
Networks
Skin
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Summary:Several efforts have been engaged in the development of computer systems that aid in the diagnosis of skin lesions and in particular melanoma. In the present paper presents the development of a dermoscopic image classification system for mobile devices. The system analyzes the skin lesions from the edge characteristics and color of the ABCD rule, and classifies the lesion using a MLP network trained with the backpropagation algorithm. Whose goal is to provide a tool capable of conducting the examination of dermoscopy in any location and allow it to be carried out by different health professionals. According to the results, the system achieved a level of 66% sensitivity and 93% specificity.
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ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2016.7430097