Using 2D U-Net convolutional neural networks for automatic acetabular and proximal femur segmentation of hip MRI images and morphological quantification: a preliminary study in DDH.
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| Title: | Using 2D U-Net convolutional neural networks for automatic acetabular and proximal femur segmentation of hip MRI images and morphological quantification: a preliminary study in DDH. |
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| Authors: | Zhang, Dian1 (AUTHOR), Zhou, Hongyan2,3,4 (AUTHOR), Zhou, Tianli2,3 (AUTHOR), Chang, Yan3 (AUTHOR), Wang, Lei5 (AUTHOR), Sheng, Mao1 (AUTHOR), Jia, Huihui1 (AUTHOR) jiahuihui0405@163.com, Yang, Xiaodong2,3 (AUTHOR) xiaodong.yang@sibet.ac.cn |
| Source: | BioMedical Engineering OnLine. 10/5/2024, Vol. 23 Issue 1, p1-16. 16p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 1475925X |
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| DOI: | 10.1186/s12938-024-01291-3 |
