Automatic Classification of Specific Melanocytic Lesions Using Artificial Intelligence
Joint Authors
Jaworek-Korjakowska, Joanna
Kłeczek, Paweł
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-17
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Background.
Given its propensity to metastasize, and lack of effective therapies for most patients with advanced disease, early detection of melanoma is a clinical imperative.
Different computer-aided diagnosis (CAD) systems have been proposed to increase the specificity and sensitivity of melanoma detection.
Although such computer programs are developed for different diagnostic algorithms, to the best of our knowledge, a system to classify different melanocytic lesions has not been proposed yet.
Method.
In this research we present a new approach to the classification of melanocytic lesions.
This work is focused not only on categorization of skin lesions as benign or malignant but also on specifying the exact type of a skin lesion including melanoma, Clark nevus, Spitz/Reed nevus, and blue nevus.
The proposed automatic algorithm contains the following steps: image enhancement, lesion segmentation, feature extraction, and selection as well as classification.
Results.
The algorithm has been tested on 300 dermoscopic images and achieved accuracy of 92% indicating that the proposed approach classified most of the melanocytic lesions correctly.
Conclusions.
A proposed system can not only help to precisely diagnose the type of the skin mole but also decrease the amount of biopsies and reduce the morbidity related to skin lesion excision.
American Psychological Association (APA)
Jaworek-Korjakowska, Joanna& Kłeczek, Paweł. 2016. Automatic Classification of Specific Melanocytic Lesions Using Artificial Intelligence. BioMed Research International،Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1099180
Modern Language Association (MLA)
Jaworek-Korjakowska, Joanna& Kłeczek, Paweł. Automatic Classification of Specific Melanocytic Lesions Using Artificial Intelligence. BioMed Research International No. 2016 (2016), pp.1-17.
https://search.emarefa.net/detail/BIM-1099180
American Medical Association (AMA)
Jaworek-Korjakowska, Joanna& Kłeczek, Paweł. Automatic Classification of Specific Melanocytic Lesions Using Artificial Intelligence. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1099180
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099180