Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms

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 extracti...

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Main Authors: Ammara Masood, Adel Ali Al-Jumaily
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2013/323268
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author Ammara Masood
Adel Ali Al-Jumaily
author_facet Ammara Masood
Adel Ali Al-Jumaily
author_sort Ammara Masood
collection DOAJ
description 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.
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institution Kabale University
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language English
publishDate 2013-01-01
publisher Wiley
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series International Journal of Biomedical Imaging
spelling doaj-art-5ef72829133147fbb4f8651c7a045b9d2025-02-03T06:00:17ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962013-01-01201310.1155/2013/323268323268Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and AlgorithmsAmmara Masood0Adel Ali Al-Jumaily1School of Electrical, Mechanical and Mechatronic Engineering, University of Technology, Broadway Ultimo, Sydney, NSW 2007, AustraliaSchool of Electrical, Mechanical and Mechatronic Engineering, University of Technology, Broadway Ultimo, Sydney, NSW 2007, AustraliaImage-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.http://dx.doi.org/10.1155/2013/323268
spellingShingle Ammara Masood
Adel Ali Al-Jumaily
Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms
International Journal of Biomedical Imaging
title Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms
title_full Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms
title_fullStr Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms
title_full_unstemmed Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms
title_short Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms
title_sort computer aided diagnostic support system for skin cancer a review of techniques and algorithms
url http://dx.doi.org/10.1155/2013/323268
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