Open Source Software for Automatic Subregional Assessment of Knee Cartilage Degradation Using Quantitative T2 Relaxometry and Deep Learning.

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作者： Kevin A,Thomas ^[1] ; Dominik,Krzemiński ^[2] ; Łukasz,Kidziński ^[3] ; Rohan,Paul ^[1] ; Elka B,Rubin ^[4] ; Eni,Halilaj ^[5] ; Marianne S,Black ^[4] ; Akshay,Chaudhari ^[1] ; Garry E,Gold ^[4] ; Scott L,Delp ^[3]

作者单位： Department of Biomedical Data Science, Stanford University, Stanford, CA, USA. ^[1] Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, Wales, UK. ^[2] Department of Bioengineering, Stanford University, Stanford, CA, USA. ^[3] Department of Radiology, Stanford University, Stanford, CA, USA. ^[4] Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA. ^[5] Department of Orthopaedic Surgery, Stanford University, Stanford, CA, USA. ^[6] Department of Mechanical Engineering, Stanford University, Stanford, CA, USA. ^[7]

关键词 T2 map MRI cartilage segmentation deep learning neural network osteoarthritis

主题词软骨, 关节(Cartilage, Articular);人类(Humans);膝(Knee);膝关节(Knee Joint);软件(Software)

DOI 10.1177/19476035211042406

PMID 34496667

发布时间 2024-05-15

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