162183 20251017144558.0 doi 10.1016/j.compbiomed.2025.110633 sideral 144795 ART-2025-144795 eng Villota, María Universidad de Zaragoza Computer vision for automatic identification of blastocyst structures and blastocyst formation time in In-Vitro Fertilization 2025 Access copy available to the general public Unrestricted Embryo selection is an indispensable step to ensure the success of In-Vitro Fertilization; however, this decision is a time-consuming, laborious, and highly subjective task for embryologists. In the best scenarios, when implanting an embryo of the best quality, the probability of pregnancy rate is just 34.1%. Automatic segmentation provides detailed, quantitative, and objective information about the embryo, reducing the workload of embryologists and enhancing the success rate of embryo implantation. As such, it represents a valuable resource in the field of assisted reproduction. Towards that aim, we present different computer vision methods that are able to automatically segment the different structures of the blastocyst — the first morphologically differentiated state of the embryo — with a Dice Score up to 0.89. Furthermore, our methods can identify the precise moment of the expanded blastocyst formation with a mean error of less than 4 h. We openly release the code so that anyone can use it and replicate the results. As a summary, this work aims to make the analysis of blastocysts more reliable and comparable, thereby advancing our understanding of embryo implantation. info:eu-repo/semantics/openAccess by-nc https://creativecommons.org/licenses/by-nc/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Ayensa-Jiménez, Jacobo (orcid)0000-0003-2564-6038 Malo, Clara Universidad de Zaragoza Urries, Antonio Universidad de Zaragoza Doblaré, Manuel Universidad de Zaragoza (orcid)0000-0001-8741-6452 Heras, Jónathan 1002 060 Universidad de Zaragoza Dpto. Bioq.Biolog.Mol. Celular Área Bioquímica y Biolog.Mole. 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 1009 617 Universidad de Zaragoza Dpto. Patología Animal Área Medicina y Cirugía Animal 196 (2025), 110633 [16 pp.] Comput. biol. med. Computers in biology and medicine 0010-4825 3390802 http://zaguan.unizar.es/record/162183/files/texto_completo.pdf Versión publicada 2679955 http://zaguan.unizar.es/record/162183/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:162183 articulos driver 2025-10-17-14:13:41 ARTICLE