Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and <scp>MRI</scp> Relaxometry-Reference-Cited by-同舟云学术

Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and MRI Relaxometry

Published:2022-07-19 Issue:4 Volume:57 Page:1029-1039
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Schmidt Andrew M.¹^ORCID,Desai Arjun D.¹²,Watkins Lauren E.¹³^ORCID,Crowder Hollis A.⁴^ORCID,Black Marianne S.¹⁴^ORCID,Mazzoli Valentina¹^ORCID,Rubin Elka B.¹^ORCID,Lu Quin⁵^ORCID,MacKay James W.⁶⁷^ORCID,Boutin Robert D.¹,Kogan Feliks¹,Gold Garry E.¹³,Hargreaves Brian A.¹²³,Chaudhari Akshay S.¹⁸^ORCID

Affiliation:

1. Department of Radiology Stanford University Palo Alto California USA

2. Electrical Engineering Stanford University Palo Alto California USA

3. Bioengineering Stanford University Palo Alto California USA

4. Mechanical Engineering Stanford University Palo Alto California USA

5. Philips Healthcare North America Gainesville Florida USA

6. Department of Radiology University of Cambridge Cambridge UK

7. Norwich Medical School University of East Anglia Norwich UK

8. Biomedical Data Science Stanford University Palo Alto California USA

Funder

National Science Foundation

GE Healthcare