Artificial Intelligence-Based Grading Quality of Bovine Blastocyst Digital Images: Direct Capture with Juxtaposed Lenses of Smartphone Camera and Stereomicroscope Ocular Lens

Artificial Intelligence-Based Grading Quality of Bovine Blastocyst Digital Images: Direct Capture with Juxtaposed Lenses of Smartphone Camera and Stereomicroscope Ocular Lens

In this study, we developed an online graphical and intuitive interface connected to a server aiming to facilitate professional access worldwide to those facing problems with bovine blastocysts classification. The interface Blasto3Q, where 3Q refers to the three qualities of the blastocyst grading,...

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Bibliographic Details
Main Authors: Marcelo Fábio Gouveia Nogueira, Vitória Bertogna Guilherme, Micheli Pronunciate, Priscila Helena dos Santos, Diogo Lima Bezerra da Silva, José Celso Rocha
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Sensors
Subjects:
artificial intelligence
artificial neural networks
embryo grading
bovine blastocyst
image processing
software
digital image capture
smartphone camera
Online Access:https://www.mdpi.com/1424-8220/18/12/4440

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