CTCs extraction method based on frequency-domain filtering from microscope images

Kento Yoshida, Yin Ju Chen, Long Sheng Lu, Shin Aoki, Naoyuki Aikawa

研究成果: Conference contribution査読

抄録

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.

本文言語English
ホスト出版物のタイトルSPA 2019 - Signal Processing
ホスト出版物のサブタイトルAlgorithms, Architectures, Arrangements, and Applications, Conference Proceedings
出版社IEEE Computer Society
ページ186-191
ページ数6
ISBN(電子版)9788362065363
DOI
出版ステータスPublished - 9月 2019
イベント23rd Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2019 - Poznan, Poland
継続期間: 18 9月 201920 9月 2019

出版物シリーズ

名前Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
2019-September
ISSN(印刷版)2326-0262
ISSN(電子版)2326-0319

Conference

Conference23rd Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2019
国/地域Poland
CityPoznan
Period18/09/1920/09/19

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