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Neurosonographic Classification in Premature Infants Receiving Omega-3 Supplementation Using Convolutional Neural Networks

This study focuses on developing a model for the precise determination of ultrasound image density and classification using convolutional neural networks (CNNs) for rapid, timely, and accurate identification of hypoxic-ischemic encephalopathy (HIE). Image density is measured by comparing two regions...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: Suzana Zivojinovic, Suzana Petrovic Savic, Tijana Prodanovic, Nikola Prodanovic, Aleksandra Simovic, Goran Devedzic, Dragana Savic
Hōputu: Artigo
Reo:Inglês
I whakaputaina: MDPI AG 2024-06-01
Rangatū:Diagnostics
Ngā marau:
hypoxic-ischemic encephalopathy
ultrasonography
density difference
convolutional neural network
neonates
intensive care
Urunga tuihono:https://www.mdpi.com/2075-4418/14/13/1342
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