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Segmentation of Relevant Region in Breast Histopathology Images using FCM with Guided Initialization

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Main Authors: Tan Xiao, Jian, Nazahah, Mustafa, Mohd Yusoff, Mashor, Khairul Shakir, Ab Rahman
Other Authors: nazahah@unimap.edu.my
Format: Article
Language:English
Published: IOP Publishing 2020
Subjects:
Relevant region
FCM
Breast histopathology
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69025
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id my.unimap-69025
record_format dspace
spelling my.unimap-690252020-12-16T08:27:31Z Segmentation of Relevant Region in Breast Histopathology Images using FCM with Guided Initialization Tan Xiao, Jian Nazahah, Mustafa Mohd Yusoff, Mashor Khairul Shakir, Ab Rahman nazahah@unimap.edu.my Relevant region FCM Breast histopathology Link to publisher's homepage at https://iopscience.iop.org/ This study proposes a modified initialization approach for the conventional FCM, namely FCM with guided initialization. The FCM with guided initialization was implemented to segment the relevant regions in the breast histopathology images. The initialization method to select initial centers is based on the Cyan (C) channel histogram. Area Overlap Measure (AOM) and Combined Equal Importance (CEI) were used to evaluate the performance of the proposed FCM with guided initialization. The obtained AOM and CEI for the overall dataset achieved promising results: 0.89 in AOM and 0.88 in CEI. When comparing the number of iterations required to complete the proposed FCM clustering algorithm, the FCM with guided initialization is found to be effective in reducing the search space by showing a lower number of iterations. 2020-12-16T08:27:31Z 2020-12-16T08:27:31Z 2019 Article Journal of Physics: Conference Series, vol.1372, 2019, 6 pages 1742-6588 (print) 1742-6596 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69025 https://iopscience.iop.org/article/10.1088/1742-6596/1372/1/012028/pdf en International Conference on Biomedical Engineering (ICoBE); IOP Publishing
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Relevant region
FCM
Breast histopathology
spellingShingle Relevant region
FCM
Breast histopathology
Tan Xiao, Jian
Nazahah, Mustafa
Mohd Yusoff, Mashor
Khairul Shakir, Ab Rahman
Segmentation of Relevant Region in Breast Histopathology Images using FCM with Guided Initialization
description Link to publisher's homepage at https://iopscience.iop.org/
author2 nazahah@unimap.edu.my
author_facet nazahah@unimap.edu.my
Tan Xiao, Jian
Nazahah, Mustafa
Mohd Yusoff, Mashor
Khairul Shakir, Ab Rahman
format Article
author Tan Xiao, Jian
Nazahah, Mustafa
Mohd Yusoff, Mashor
Khairul Shakir, Ab Rahman
author_sort Tan Xiao, Jian
title Segmentation of Relevant Region in Breast Histopathology Images using FCM with Guided Initialization
title_short Segmentation of Relevant Region in Breast Histopathology Images using FCM with Guided Initialization
title_full Segmentation of Relevant Region in Breast Histopathology Images using FCM with Guided Initialization
title_fullStr Segmentation of Relevant Region in Breast Histopathology Images using FCM with Guided Initialization
title_full_unstemmed Segmentation of Relevant Region in Breast Histopathology Images using FCM with Guided Initialization
title_sort segmentation of relevant region in breast histopathology images using fcm with guided initialization
publisher IOP Publishing
publishDate 2020
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69025
_version_ 1698698545381507072
score 13.214268

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