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Clasificación automática de calidad embrionaria en embriones en estadio de Blastocisto, mediante una Convolutional Neural Network (CNN)

Authors: Rodríguez García, Ignacio;

Clasificación automática de calidad embrionaria en embriones en estadio de Blastocisto, mediante una Convolutional Neural Network (CNN)

Abstract

El desenvolupament de noves tecnologies en el camp de la intel·ligència artificial ha de ser aplicat en camps com la Reproducció Humana. La selecció dels embrions a transferir és un procés de vital importància realitzat per biòlegs en base a característiques morfològiques. L'objectiu d'aquest estudi és desenvolupar un algoritme Deep Learning que permeti classificar les imatges d'embrions en funció de la seva qualitat.

El desarrollo de nuevas tecnologías en el campo de la inteligencia artificial debe ser aplicado en campos como la Reproducción Humana. La selección de los embriones a transferir es un proceso de vital importancia realizado por biólogos en base a características morfológicas. El objetivo de este estudio es desarrollar un algoritmo Deep Learning que permita clasificar las imágenes de embriones en función de su calidad.

The development of new technologies in the field of artificial intelligence must be applied in areas as Human Reproduction. The selection of embryos to be transferred is a very important process carried out by embryologist based on morphological characteristics. The aim of this study is to develop a Deep Learning algorithm that allows the classification of embryo images according to their quality.

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Spain
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Keywords

Artificial intelligence -- Medical applications -- TFM, aprendizaje profundo, inteligencia artificial, aprenentatge profund, Inteligencia artificial -- Aplicaciones en la medicina -- TFM, deep learning, convolutional neural network, Intel·ligència artificial -- Aplicacions a la medicina -- TFM, artificial intelligence, redes neuronales convolucionales, xarxes neuronals convolucionals, intel·ligència artificial, embrions humans, human embryos, embriones humanos

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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