Data Descriptor: Automatized image processing of bovine blastocysts produced in vitro for quantitative variable determination
Carregando...
Data
2017-12-19
Autores
Rocha, José Celso [UNESP]
Passalia, Felipe José [UNESP]
Matos, Felipe Delestro
Takahashi, Maria Beatriz [UNESP]
Maserati, Marc Peter
Alves, Mayra Fernanda
De Almeida, Tamie Guibu
Cardoso, Bruna Lopes
Basso, Andrea Cristina
Nogueira, Marcelo Fábio Gouveia [UNESP]
Título da Revista
ISSN da Revista
Título de Volume
Editor
Resumo
There is currently no objective, real-time and non-invasive method for evaluating the quality of mammalian embryos. In this study, we processed images of in vitro produced bovine blastocysts to obtain a deeper comprehension of the embryonic morphological aspects that are related to the standard evaluation of blastocysts. Information was extracted from 482 digital images of blastocysts. The resulting imaging data were individually evaluated by three experienced embryologists who graded their quality. To avoid evaluation bias, each image was related to the modal value of the evaluations. Automated image processing produced 36 quantitative variables for each image. The images, the modal and individual quality grades, and the variables extracted could potentially be used in the development of artificial intelligence techniques (e.g., evolutionary algorithms and artificial neural networks), multivariate modelling and the study of defined structures of the whole blastocyst.
Descrição
Palavras-chave
Como citar
Scientific Data, v. 4.