An End-to-End Framework for Neonatal Asphyxia Detection Through Video Analysis

An End-to-End Framework for Neonatal Asphyxia Detection Through Video Analysis

Identifying asphyxia using computer vision in real-world settings poses challenges due to varying video quality, diverse lighting conditions, and subtle color changes in the newborn’s skin. This study presents an end-to-end framework for automated neonatal asphyxia detection using time se...

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Bibliographic Details
Main Authors: Kurnianingsih, Sou Nobukawa, Melyana Nurul Widyawati, Cipta Pramana, Nurseno Bayu Aji, Afandi Nur Aziz Thohari, Dwiana Hendrawati, Eri Sato-Shimokawara, Naoyuki Kubota
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Neonatal asphyxia
video analysis
instance segmentation
deep learning
medical imaging
Online Access:https://ieeexplore.ieee.org/document/10975012/
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https://ieeexplore.ieee.org/document/10975012/

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