Abstract
Circulating tumor cells (CTCs) can be used for the early detection of cancer and determination of the effectiveness of anticancer drug treatment. Sometimes CTC grows on a culture medium which has a honeycomb texture, and existing detection methods cannot achieve satisfactory results because the honeycomb textures are more salient than the CTCs edges. Thus, a CTCs extraction method for honeycomb textures from microscope images is needed.In this paper, we propose a new algorithm to remove honeycomb texture from microscope images. We confirmed that our proposed algorithm can sufficiently remove the honeycomb texture even the periodicity of the patterns are weak. Also our method achieves a high segmentation accuracy for images where the background is more salient than the CTCs edges.
Original language | English |
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Title of host publication | SPA 2019 - Signal Processing |
Subtitle of host publication | Algorithms, Architectures, Arrangements, and Applications, Conference Proceedings |
Publisher | IEEE Computer Society |
Pages | 186-191 |
Number of pages | 6 |
ISBN (Electronic) | 9788362065363 |
DOIs | |
State | Published - 09 2019 |
Externally published | Yes |
Event | 23rd Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2019 - Poznan, Poland Duration: 18 09 2019 → 20 09 2019 |
Publication series
Name | Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA |
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Volume | 2019-September |
ISSN (Print) | 2326-0262 |
ISSN (Electronic) | 2326-0319 |
Conference
Conference | 23rd Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2019 |
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Country/Territory | Poland |
City | Poznan |
Period | 18/09/19 → 20/09/19 |
Bibliographical note
Publisher Copyright:© 2019 Division of Signal Processing and Electronic Systems, Poznan University of Technology (DSPES PUT).