Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort

被引:0
作者
Wolfgang Wirth
Felix Eckstein
Jana Kemnitz
Christian Frederik Baumgartner
Ender Konukoglu
David Fuerst
Akshay Sanjay Chaudhari
机构
[1] Paracelsus Medical University Salzburg and Nuremberg,Department of Imaging and Functional Musculoskeletal Research, Institute of Anatomy and Cell Biology
[2] Paracelsus Medical University,Ludwig Boltzmann Institute for Arthritis and Rehabilitation
[3] Chondrometrics GmbH,Department of Radiology
[4] ETH,undefined
[5] Stanford University,undefined
来源
Magnetic Resonance Materials in Physics, Biology and Medicine | 2021年 / 34卷
关键词
Cartilage; Automated segmentation; Knee osteoarthritis; Magnetic resonance imaging; Convolutional neural network;
D O I
暂无
中图分类号
学科分类号
摘要
引用
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页码:337 / 354
页数:17
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