A deep learning workflow for quantification of Micronuclei in DNA damage studies in cultured cancer cell lines: a proof of principle investigation
K. Surendranath, A. Panchbhai, M. C. Ishanzadeh, S. Pankanti, A. Sidali, N. Solaiman, K. Radhakrishnan, J. J. Murphy
This study applies a deep learning workflow to detect micronuclei in DAPI-stained images, achieving >90% average precision in a proof of principle investigation.
bioRxiv · Sep 18, 2022Cancer Biology