Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality

A critical factor that influences the success of an in-vitro fertilization (IVF) treatment cycle is the quality of the transferred embryo. Embryo morphology assessments, conventionally performed through manual microscopic analysis suffer from disparities in practice, selection criteria, and subjecti...

Descripción completa

Detalles Bibliográficos
Autores principales: Thirumalaraju, Prudhvi, Kanakasabapathy, Manoj Kumar, Bormann, Charles L., Gupta, Raghav, Pooniwala, Rohan, Kandula, Hemanth, Souter, Irene, Dimitriadis, Irene, Shafiee, Hadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907476/
https://www.ncbi.nlm.nih.gov/pubmed/33665450
http://dx.doi.org/10.1016/j.heliyon.2021.e06298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907476/
https://www.ncbi.nlm.nih.gov/pubmed/33665450
http://dx.doi.org/10.1016/j.heliyon.2021.e06298

Ejemplares similares