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Novel Method for Border Irregularity Assessment in Dermoscopic Color Images

Background. One of the most important lesion features predicting malignancy is border irregularity. Accurate assessment of irregular borders is clinically important due to significantly different occurrence in benign and malignant skin lesions. Method. In this research, we present a new approach for...

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Autor principal: Jaworek-Korjakowska, Joanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4641961/
https://www.ncbi.nlm.nih.gov/pubmed/26604980
http://dx.doi.org/10.1155/2015/496202
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author Jaworek-Korjakowska, Joanna
author_facet Jaworek-Korjakowska, Joanna
author_sort Jaworek-Korjakowska, Joanna
collection PubMed
description Background. One of the most important lesion features predicting malignancy is border irregularity. Accurate assessment of irregular borders is clinically important due to significantly different occurrence in benign and malignant skin lesions. Method. In this research, we present a new approach for the detection of border irregularities, as one of the major parameters in a widely used diagnostic algorithm the ABCD rule of dermoscopy. The proposed work is focused on designing an efficient automatic algorithm containing the following steps: image enhancement, lesion segmentation, borderline calculation, and irregularities detection. The challenge lies in determining the exact borderline. For solving this problem we have implemented a new method based on lesion rotation and borderline division. Results. The algorithm has been tested on 350 dermoscopic images and achieved accuracy of 92% indicating that the proposed computational approach captured most of the irregularities and provides reliable information for effective skin mole examination. Compared to the state of the art, we obtained improved classification results. Conclusions. The current study suggests that computer-aided system is a practical tool for dermoscopic image assessment and could be recommended for both research and clinical applications. The proposed algorithm can be applied in different fields of medical image analysis including, for example, CT and MRI images.
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spelling pubmed-46419612015-11-24 Novel Method for Border Irregularity Assessment in Dermoscopic Color Images Jaworek-Korjakowska, Joanna Comput Math Methods Med Research Article Background. One of the most important lesion features predicting malignancy is border irregularity. Accurate assessment of irregular borders is clinically important due to significantly different occurrence in benign and malignant skin lesions. Method. In this research, we present a new approach for the detection of border irregularities, as one of the major parameters in a widely used diagnostic algorithm the ABCD rule of dermoscopy. The proposed work is focused on designing an efficient automatic algorithm containing the following steps: image enhancement, lesion segmentation, borderline calculation, and irregularities detection. The challenge lies in determining the exact borderline. For solving this problem we have implemented a new method based on lesion rotation and borderline division. Results. The algorithm has been tested on 350 dermoscopic images and achieved accuracy of 92% indicating that the proposed computational approach captured most of the irregularities and provides reliable information for effective skin mole examination. Compared to the state of the art, we obtained improved classification results. Conclusions. The current study suggests that computer-aided system is a practical tool for dermoscopic image assessment and could be recommended for both research and clinical applications. The proposed algorithm can be applied in different fields of medical image analysis including, for example, CT and MRI images. Hindawi Publishing Corporation 2015 2015-10-29 /pmc/articles/PMC4641961/ /pubmed/26604980 http://dx.doi.org/10.1155/2015/496202 Text en Copyright © 2015 Joanna Jaworek-Korjakowska. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jaworek-Korjakowska, Joanna
Novel Method for Border Irregularity Assessment in Dermoscopic Color Images
title Novel Method for Border Irregularity Assessment in Dermoscopic Color Images
title_full Novel Method for Border Irregularity Assessment in Dermoscopic Color Images
title_fullStr Novel Method for Border Irregularity Assessment in Dermoscopic Color Images
title_full_unstemmed Novel Method for Border Irregularity Assessment in Dermoscopic Color Images
title_short Novel Method for Border Irregularity Assessment in Dermoscopic Color Images
title_sort novel method for border irregularity assessment in dermoscopic color images
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4641961/
https://www.ncbi.nlm.nih.gov/pubmed/26604980
http://dx.doi.org/10.1155/2015/496202
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