Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69025
Title: | Segmentation of Relevant Region in Breast Histopathology Images using FCM with Guided Initialization |
Authors: | Tan Xiao, Jian Nazahah, Mustafa Mohd Yusoff, Mashor Khairul Shakir, Ab Rahman nazahah@unimap.edu.my |
Keywords: | Relevant region FCM Breast histopathology |
Issue Date: | 2019 |
Publisher: | IOP Publishing |
Citation: | Journal of Physics: Conference Series, vol.1372, 2019, 6 pages |
Series/Report no.: | International Conference on Biomedical Engineering (ICoBE); |
Abstract: | 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. |
Description: | Link to publisher's homepage at https://iopscience.iop.org/ |
URI: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69025 |
ISSN: | 1742-6588 (print) 1742-6596 (online) |
Appears in Collections: | Mohd Yusoff Mashor, Prof. Dr. |
Files in This Item:
File | Description | Size | Format | |
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Segmentation of Relevant Region.pdf | Main article | 722.35 kB | Adobe PDF | View/Open |
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