Automatized image processing of bovine blastocysts produced in vitro for quantitative variable determination

Author:

Rocha José Celso,Passalia Felipe José,Matos Felipe Delestro,Takahashi Maria Beatriz,Maserati Jr Marc Peter,Alves Mayra Fernanda,de Almeida Tamie Guibu,Cardoso Bruna Lopes,Basso Andrea Cristina,Nogueira Marcelo Fábio GouveiaORCID

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Reference20 articles.

1. Bó, G. & Mapletoft, R. Evaluation and classification of bovine embryos. Anim. Reprod 54, 344–348 (2013).

2. Russ, J. C. The Image Processing Handbook (CRC press, 2016).

3. Sonka, M., Hlavac, V. & Boyle, R. Image Processing, Analysis, and Machine Vision (Cengage Learning, 2014).

4. Rocha, J. C. et al. A method based on artificial intelligence to fully automatize the evaluation of bovine blastocyst images. Sci. Rep 7, 7659 (2017).

5. Sanches, B. V. et al. A new direct transfer protocol for cryopreserved IVF embryos. Theriogenology 85, 1147–1151 (2016).

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