换一批Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry.
第一作者：
Berk,Norman
第一单位：
From the Department of Radiology and Biomedical Imaging and Center for Digital Health Innovation (CDHI), University of California, San Francisco, 1700 Fourth St, Suite 201, QB3 Building, San Francisco, CA 94107.
作者：
医学主题词
青少年(Adolescent);成年人(Adult);老年人(Aged);老年人, 80以上(Aged, 80 and over);软骨, 关节(Cartilage, Articular);女(雌)性(Female);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);关节疾病(Joint Diseases);膝关节(Knee Joint);磁共振成像(Magnetic Resonance Imaging);男(雄)性(Male);中年人(Middle Aged);结果可重复性(Reproducibility of Results);回顾性研究(Retrospective Studies);青年人(Young Adult)
DOI
10.1148/radiol.2018172322
PMID
29584598
发布时间
2023-09-26
- 浏览33
Radiology
177-185页
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