Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U‐Net with transfer learning
Purpose To develop a deep learning‐based method for knee menisci segmentation in 3D
ultrashort echo time (UTE) cones MR imaging, and to automatically determine MR relaxation …
ultrashort echo time (UTE) cones MR imaging, and to automatically determine MR relaxation …
Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U‐Net with transfer learning.
M Byra, M Wu, X Zhang, H Jang… - Magnetic …, 2020 - search.ebscohost.com
Purpose: To develop a deep learning‐based method for knee menisci segmentation in 3D
ultrashort echo time (UTE) cones MR imaging, and to automatically determine MR relaxation …
ultrashort echo time (UTE) cones MR imaging, and to automatically determine MR relaxation …
[引用][C] Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U‐Net with transfer learning
M Byra, M Wu, X Zhang, H Jang, YJ Ma… - Magnetic Resonance in …, 2019 - cir.nii.ac.jp
Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging
using attention U‐Net with transfer learning | CiNii Research CiNii 国立情報学研究所 学術情報 …
using attention U‐Net with transfer learning | CiNii Research CiNii 国立情報学研究所 学術情報 …
Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U-Net with transfer learning.
M Byra, M Wu, X Zhang, H Jang, YJ Ma… - Magnetic Resonance …, 2019 - europepmc.org
Purpose To develop a deep learning-based method for knee menisci segmentation in 3D
ultrashort echo time (UTE) cones MR imaging, and to automatically determine MR relaxation …
ultrashort echo time (UTE) cones MR imaging, and to automatically determine MR relaxation …
Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U-Net with transfer learning
M Byra, M Wu, X Zhang, H Jang… - Magnetic …, 2020 - pubmed.ncbi.nlm.nih.gov
Purpose To develop a deep learning-based method for knee menisci segmentation in 3D
ultrashort echo time (UTE) cones MR imaging, and to automatically determine MR relaxation …
ultrashort echo time (UTE) cones MR imaging, and to automatically determine MR relaxation …
[HTML][HTML] Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning
M Byra, M Wu, X Zhang, H Jang, YJ Ma… - Magnetic resonance …, 2020 - ncbi.nlm.nih.gov
PURPOSE: To develop a deep learning-based method for knee menisci segmentation in 3D
ultrashort echo time (UTE) cones magnetic resonance (MR) imaging, and to automatically …
ultrashort echo time (UTE) cones magnetic resonance (MR) imaging, and to automatically …
Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U‐Net with transfer learning
M Byra, M Wu, X Zhang, H Jang, YJ Ma… - Magnetic Resonance in …, 2019 - infona.pl
Purpose To develop a deep learning‐based method for knee menisci segmentation in 3D
ultrashort echo time (UTE) cones MR imaging, and to automatically determine MR relaxation …
ultrashort echo time (UTE) cones MR imaging, and to automatically determine MR relaxation …
Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U-Net with transfer learning.
M Byra, M Wu, X Zhang, H Jang, YJ Ma… - Magnetic resonance …, 2020 - escholarship.org
PurposeTo develop a deep learning-based method for knee menisci segmentation in 3D
ultrashort echo time (UTE) cones MR imaging, and to automatically determine MR relaxation …
ultrashort echo time (UTE) cones MR imaging, and to automatically determine MR relaxation …