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Computer Aided Diagnostic Support System for Skin Cancer : A Review of Techniques and Algorithms
Joint Authors
Masood, Ammara
al-Jumaily, Adel Ali
Source
International Journal of Biomedical Imaging
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-23
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
Image-based computer aided diagnosis systems have significant potential for screening and early detection of malignant melanoma.
We review the state of the art in these systems and examine current practices, problems, and prospects of image acquisition, pre-processing, segmentation, feature extraction and selection, and classification of dermoscopic images.
This paper reports statistics and results from the most important implementations reported to date.
We compared the performance of several classifiers specifically developed for skin lesion diagnosis and discussed the corresponding findings.
Whenever available, indication of various conditions that affect the technique’s performance is reported.
We suggest a framework for comparative assessment of skin cancer diagnostic models and review the results based on these models.
The deficiencies in some of the existing studies are highlighted and suggestions for future research are provided.
American Psychological Association (APA)
Masood, Ammara& al-Jumaily, Adel Ali. 2013. Computer Aided Diagnostic Support System for Skin Cancer : A Review of Techniques and Algorithms. International Journal of Biomedical Imaging،Vol. 2013, no. 2013, pp.1-22.
https://search.emarefa.net/detail/BIM-463438
Modern Language Association (MLA)
Masood, Ammara& al-Jumaily, Adel Ali. Computer Aided Diagnostic Support System for Skin Cancer : A Review of Techniques and Algorithms. International Journal of Biomedical Imaging No. 2013 (2013), pp.1-22.
https://search.emarefa.net/detail/BIM-463438
American Medical Association (AMA)
Masood, Ammara& al-Jumaily, Adel Ali. Computer Aided Diagnostic Support System for Skin Cancer : A Review of Techniques and Algorithms. International Journal of Biomedical Imaging. 2013. Vol. 2013, no. 2013, pp.1-22.
https://search.emarefa.net/detail/BIM-463438
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-463438