Saito, Kasumi
Motani, Yuki
Takae, Seido
Suzuki, Nao
Tsukada, Kosuke https://orcid.org/0000-0003-1463-2204
Funding for this research was provided by:
Japan Society for the Promotion of Science (18K09305)
Keio Gijuku Fukuzawa Memorial Fund for the Advancement of Education and Research
Article Title: Convolutional neural network-based automatic detection of follicle cells in ovarian tissue using optical coherence tomography
Journal Title: Biomedical Physics & Engineering Express
Article Type: paper
Copyright Information: © 2020 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2020-05-01
Date Accepted: 2020-10-22
Online publication date: 2020-11-03