Computer vision for automatic identification of blastocyst structures and blastocyst formation time in In-Vitro Fertilization
Villota, María (Universidad de Zaragoza) ; Ayensa-Jiménez, Jacobo ; Malo, Clara (Universidad de Zaragoza) ; Urries, Antonio (Universidad de Zaragoza) ; Doblaré, Manuel (Universidad de Zaragoza) ; Heras, Jónathan
Resumen: 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.
Idioma: Inglés
DOI: 10.1016/j.compbiomed.2025.110633
Año: 2025
Publicado en: Computers in biology and medicine 196 (2025), 110633 [16 pp.]
ISSN: 0010-4825
Tipo y forma: Article (Published version)
Área (Departamento): Área Bioquímica y Biolog.Mole. (Dpto. Bioq.Biolog.Mol. Celular)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)
Área (Departamento): Área Medicina y Cirugía Animal (Dpto. Patología Animal)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes.
Exportado de SIDERAL (2025-10-17-14:13:41)
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Idioma: Inglés
DOI: 10.1016/j.compbiomed.2025.110633
Año: 2025
Publicado en: Computers in biology and medicine 196 (2025), 110633 [16 pp.]
ISSN: 0010-4825
Tipo y forma: Article (Published version)
Área (Departamento): Área Bioquímica y Biolog.Mole. (Dpto. Bioq.Biolog.Mol. Celular)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)
Área (Departamento): Área Medicina y Cirugía Animal (Dpto. Patología Animal)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. Exportado de SIDERAL (2025-10-17-14:13:41)
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Este artículo se encuentra en las siguientes colecciones:
Articles > Artículos por área > Mec. de Medios Contínuos y Teor. de Estructuras
Articles > Artículos por área > Bioquímica y Biología Molecular
Articles > Artículos por área > Medicina y Cirugía Animal
Record created 2025-07-22, last modified 2025-10-17