NDL-Net: A Hybrid Deep Learning Framework for Diagnosing Neonatal Respiratory Distress Syndrome From Chest X-Rays

NDL-Net: A Hybrid Deep Learning Framework for Diagnosing Neonatal Respiratory Distress Syndrome From Chest X-Rays

<italic>Objective:</italic> Neonatal Respiratory Distress Syndrome (NRDS) poses a significant threat to newborn health, necessitating timely and accurate diagnosis. This study introduces NDL-Net, an innovative hybrid deep learning framework designed to diagnose NRDS from chest X-rays (CX...

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Bibliographic Details
Main Authors: Malik Muhammad Arslan, Xiaodong Yang, Nan Zhao, Lei Guan, Tao Cui, Daniyal Haider
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
AI-driven diagnosis
chest X-ray imaging
computational pediatric radiology
hybrid deep learning framework
neonatal respiratory distress syndrome
Online Access:https://ieeexplore.ieee.org/document/10914519/
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https://ieeexplore.ieee.org/document/10914519/

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