BioinformaticsJournal of Cell SciencePeer-reviewed
An interpretable and versatile machine learning approach for oocyte phenotyping
Gaëlle Letort, Adrien Eichmuller, Christelle Da Silva…·Marie‐Hélène Verlhac
This paper develops a machine learning framework for oocyte phenotyping using transmitted light images, identifying new features to assess maturation potential in mouse and human oocytes.