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- Title
Deep Learning Method for Extracting Areas of Cancer Cells Using Microscope Images.
- Authors
Akiguchi, Shunsuke; Kyoden, Tomoaki; Terabayashi, Taiki; Yamada, Noboru; Andoh, Tsugunobu; Hachiga, Tadashi
- Abstract
The targets of therapy in treatments for cancer are the cancer cells themselves. To verify the effectiveness of treatment, a system to measure the status of these cells is necessary. The objective of this study is to develop a system that automatically measures the area of a cell colony in a microscope image and the number of cells in the colony. To this end, we propose a method to predict the colony region using deep learning, and to count the number of cells quantitatively and without staining. © 2023 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
- Subjects
JAPAN; DEEP learning; CANCER cells; LASER Doppler velocimeter; MICROSCOPES; ELECTRICAL engineers
- Publication
IEEJ Transactions on Electrical & Electronic Engineering, 2023, Vol 18, Issue 6, p980
- ISSN
1931-4973
- Publication type
Article
- DOI
10.1002/tee.23790