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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956942/ https://www.ncbi.nlm.nih.gov/pubmed/35345817 http://dx.doi.org/10.1016/j.ejro.2022.100412 |