Advancing prenatal healthcare by explainable AI enhanced fetal ultrasound image segmentation using U-Net++ with attention mechanisms

Advancing prenatal healthcare by explainable AI enhanced fetal ultrasound image segmentation using U-Net++ with attention mechanisms

Abstract Prenatal healthcare development requires accurate automated techniques for fetal ultrasound image segmentation. This approach allows standardized evaluation of fetal development by minimizing time-exhaustive processes that perform poorly due to human intervention. This research develops a s...

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Bibliographic Details
Main Authors: Retinderdeep Singh, Sheifali Gupta, Heba G. Mohamed, Salil Bharany, Ateeq Ur Rehman, Yazeed Yasin Ghadi, Seada Hussen
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Fetal head segmentation
Deep learning
UNet++
ResNet-34
Attention block
Fetal head
Online Access:https://doi.org/10.1038/s41598-025-04631-y
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https://doi.org/10.1038/s41598-025-04631-y

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