An end-to-end pipeline based on open source deep learning tools for reliable analysis of complex 3D images of Medaka ovaries
M. LESAGE, V. THERMES, J. BUGEON, M. THOMAS, T. PECOT
The paper develops an end-to-end pipeline using open-source deep learning tools to analyze complex 3D fluorescent images of Medaka ovaries for accurate quantitative measurement of ovarian content.
bioRxiv · Aug 3, 2022 · PreprintCell Biology