A comprehensive review on fetal health surveillance using ultrasound imagery
Highlights A comprehensive study on the impact of fetal surveillance on ultrasound imaging using deep learning models. Computer vision models, including variants of CNNs such as U-Nets, Yolo, and ResNets, are compared for fetal anatomy classification, segmentation, and detection. Performance analysi...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-06644-8 |
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