Deep Learning-Based Algorithms for Real-Time Lung Ultrasound Assisted Diagnosis

Deep Learning-Based Algorithms for Real-Time Lung Ultrasound Assisted Diagnosis

Lung ultrasound is an increasingly utilized non-invasive imaging modality for assessing lung condition but interpreting it can be challenging and depends on the operator’s experience. To address these challenges, this work proposes an approach that combines artificial intelligence (AI) with feature-...

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Bibliographic Details
Main Authors: Mario Muñoz, Adrián Rubio, Guillermo Cosarinsky, Jorge F. Cruza, Jorge Camacho
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
lung ultrasound (LUS)
artificial intelligence (AI)
convolutional neural network
deep learning
pleura
B-line
Online Access:https://www.mdpi.com/2076-3417/14/24/11930
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https://www.mdpi.com/2076-3417/14/24/11930

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