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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Suzana Zivojinovic, Suzana Petrovic Savic, Tijana Prodanovic, Nikola Prodanovic, Aleksandra Simovic, Goran Devedzic, Dragana Savic
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-06-01
Serie:	Diagnostics
Soggetti:	hypoxic-ischemic encephalopathy ultrasonography density difference convolutional neural network neonates intensive care
Accesso online:	https://www.mdpi.com/2075-4418/14/13/1342
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!