Development of an automated two pronuclei detection system on time‐lapse embryo images using deep learning techniques
- DOI
- 10.1002/rmb2.12331
- Published
- 2020-06-02
- Container
- Reproductive Medicine and Biology
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/rmb2.12331,
title = {Development of an automated two pronuclei detection system on time‐lapse embryo images using deep learning techniques},
author = {Noritaka Fukunaga and Sho Sanami and Hiroya Kitasaka and Yuji Tsuzuki and Hiroyuki Watanabe and Yuta Kida and Seiji Takeda and Yoshimasa Asada},
year = {2020},
journal = {Reproductive Medicine and Biology},
doi = {10.1002/rmb2.12331},
url = {https://doi.org/10.1002/rmb2.12331}
}RIS
TY - JOUR TI - Development of an automated two pronuclei detection system on time‐lapse embryo images using deep learning techniques AU - Noritaka Fukunaga AU - Sho Sanami AU - Hiroya Kitasaka AU - Yuji Tsuzuki AU - Hiroyuki Watanabe AU - Yuta Kida AU - Seiji Takeda AU - Yoshimasa Asada PY - 2020 JO - Reproductive Medicine and Biology DO - 10.1002/rmb2.12331 UR - https://doi.org/10.1002/rmb2.12331 ER -
APA
Fukunaga, N., Sanami, S., Kitasaka, H., Tsuzuki, Y., Watanabe, H., Kida, Y., Takeda, S., & Asada, Y. (2020). Development of an automated two pronuclei detection system on time‐lapse embryo images using deep learning techniques. Reproductive Medicine and Biology. https://doi.org/10.1002/rmb2.12331
Source records
- crossref · retrieved 2026-09-26T05:28:55.209Z