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：
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页码：337 / 354
页数：17
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