Fully automated Assessment of Knee Alignment from Full-Leg X-Rays employing a “YOLOv4 And Resnet Landmark regression Algorithm” (YARLA): Data from the Osteoarthritis Initiative-Reference-Cited by-同舟云学术

Fully automated Assessment of Knee Alignment from Full-Leg X-Rays employing a “YOLOv4 And Resnet Landmark regression Algorithm” (YARLA): Data from the Osteoarthritis Initiative

Published:2021-06 Issue: Volume:205 Page:106080
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Tack Alexander^ORCID,Preim Bernhard,Zachow Stefan^ORCID

Funder

Bundesministerium fur Bildung und Forschung Dienststelle Berlin

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

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5. YOLOv4: Optimal Speed and Accuracy of Object Detection;Bochkovskiy;arXiv preprint arXiv:2004.10934,2020

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