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An Interactive Method Based on the Live Wire for Segmentation of the Breast in Mammography Images

In order to improve accuracy of computer-aided diagnosis of breast lumps, the authors introduce an improved interactive segmentation method based on Live Wire. This paper presents the Gabor filters and FCM clustering algorithm is introduced to the Live Wire cost function definition. According to the...

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Detalles Bibliográficos
Autores principales: Zewei, Zhang, Tianyue, Wang, Li, Guo, Tingting, Wang, Lu, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4082883/
https://www.ncbi.nlm.nih.gov/pubmed/25024740
http://dx.doi.org/10.1155/2014/954148
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author Zewei, Zhang
Tianyue, Wang
Li, Guo
Tingting, Wang
Lu, Xu
author_facet Zewei, Zhang
Tianyue, Wang
Li, Guo
Tingting, Wang
Lu, Xu
author_sort Zewei, Zhang
collection PubMed
description In order to improve accuracy of computer-aided diagnosis of breast lumps, the authors introduce an improved interactive segmentation method based on Live Wire. This paper presents the Gabor filters and FCM clustering algorithm is introduced to the Live Wire cost function definition. According to the image FCM analysis for image edge enhancement, we eliminate the interference of weak edge and access external features clear segmentation results of breast lumps through improving Live Wire on two cases of breast segmentation data. Compared with the traditional method of image segmentation, experimental results show that the method achieves more accurate segmentation of breast lumps and provides more accurate objective basis on quantitative and qualitative analysis of breast lumps.
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spelling pubmed-40828832014-07-14 An Interactive Method Based on the Live Wire for Segmentation of the Breast in Mammography Images Zewei, Zhang Tianyue, Wang Li, Guo Tingting, Wang Lu, Xu Comput Math Methods Med Research Article In order to improve accuracy of computer-aided diagnosis of breast lumps, the authors introduce an improved interactive segmentation method based on Live Wire. This paper presents the Gabor filters and FCM clustering algorithm is introduced to the Live Wire cost function definition. According to the image FCM analysis for image edge enhancement, we eliminate the interference of weak edge and access external features clear segmentation results of breast lumps through improving Live Wire on two cases of breast segmentation data. Compared with the traditional method of image segmentation, experimental results show that the method achieves more accurate segmentation of breast lumps and provides more accurate objective basis on quantitative and qualitative analysis of breast lumps. Hindawi Publishing Corporation 2014 2014-06-15 /pmc/articles/PMC4082883/ /pubmed/25024740 http://dx.doi.org/10.1155/2014/954148 Text en Copyright © 2014 Zhang Zewei et al. 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
Zewei, Zhang
Tianyue, Wang
Li, Guo
Tingting, Wang
Lu, Xu
An Interactive Method Based on the Live Wire for Segmentation of the Breast in Mammography Images
title An Interactive Method Based on the Live Wire for Segmentation of the Breast in Mammography Images
title_full An Interactive Method Based on the Live Wire for Segmentation of the Breast in Mammography Images
title_fullStr An Interactive Method Based on the Live Wire for Segmentation of the Breast in Mammography Images
title_full_unstemmed An Interactive Method Based on the Live Wire for Segmentation of the Breast in Mammography Images
title_short An Interactive Method Based on the Live Wire for Segmentation of the Breast in Mammography Images
title_sort interactive method based on the live wire for segmentation of the breast in mammography images
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4082883/
https://www.ncbi.nlm.nih.gov/pubmed/25024740
http://dx.doi.org/10.1155/2014/954148
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