Deep learning-based pelvic levator hiatus segmentation from ultrasound images
Purpose: To automatically segment and measure the levator hiatus with a deep learning approach and evaluate the performance between algorithms, sonographers, and different devices. Methods: Three deep learning models (UNet-ResNet34, HR-Net, and SegNet) were trained with 360 images and validated with...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-01-01
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| Series: | European Journal of Radiology Open |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352047722000193 |