Segmentation of Relevant Region in Breast Histopathology Images using FCM with Guided Initialization
Link to publisher's homepage at https://iopscience.iop.org/
Saved in:
| Main Authors: | , , , |
|---|---|
| 其他作者: | |
| 格式: | Article |
| 语言: | English |
| 出版: |
IOP Publishing
2020
|
| 主题: | |
| 在线阅读: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69025 |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
| 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 |
13.251813 |