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Computer-Aided Diagnosis of Micro-Malignant Melanoma Lesions Applying Support Vector Machines
Author
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-13
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Background.
One of the fatal disorders causing death is malignant melanoma, the deadliest form of skin cancer.
The aim of the modern dermatology is the early detection of skin cancer, which usually results in reducing the mortality rate and less extensive treatment.
This paper presents a study on classification of melanoma in the early stage of development using SVMs as a useful technique for data classification.
Method.
In this paper an automatic algorithm for the classification of melanomas in their early stage, with a diameter under 5 mm, has been presented.
The system contains the following steps: image enhancement, lesion segmentation, feature calculation and selection, and classification stage using SVMs.
Results.
The algorithm has been tested on 200 images including 70 melanomas and 130 benign lesions.
The SVM classifier achieved sensitivity of 90% and specificity of 96%.
The results indicate that the proposed approach captured most of the malignant cases and could provide reliable information for effective skin mole examination.
Conclusions.
Micro-melanomas due to the small size and low advancement of development create enormous difficulties during the diagnosis even for experts.
The use of advanced equipment and sophisticated computer systems can help in the early diagnosis of skin lesions.
American Psychological Association (APA)
Jaworek-Korjakowska, Joanna. 2016. Computer-Aided Diagnosis of Micro-Malignant Melanoma Lesions Applying Support Vector Machines. BioMed Research International،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1097787
Modern Language Association (MLA)
Jaworek-Korjakowska, Joanna. Computer-Aided Diagnosis of Micro-Malignant Melanoma Lesions Applying Support Vector Machines. BioMed Research International No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1097787
American Medical Association (AMA)
Jaworek-Korjakowska, Joanna. Computer-Aided Diagnosis of Micro-Malignant Melanoma Lesions Applying Support Vector Machines. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1097787
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1097787