TY - GEN
T1 - CTCs extraction method based on frequency-domain filtering from microscope images
AU - Yoshida, Kento
AU - Chen, Yin Ju
AU - Lu, Long Sheng
AU - Aoki, Shin
AU - Aikawa, Naoyuki
N1 - Publisher Copyright:
© 2019 Division of Signal Processing and Electronic Systems, Poznan University of Technology (DSPES PUT).
PY - 2019/9
Y1 - 2019/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85077753731&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85077753731&partnerID=8YFLogxK
U2 - 10.23919/SPA.2019.8936788
DO - 10.23919/SPA.2019.8936788
M3 - Conference contribution
AN - SCOPUS:85077753731
T3 - Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
SP - 186
EP - 191
BT - SPA 2019 - Signal Processing
PB - IEEE Computer Society
T2 - 23rd Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2019
Y2 - 18 September 2019 through 20 September 2019
ER -
