Automated Analysis of Alignment in Long-Leg Radiographs by Using a Fully Automated Support System Based on Artificial Intelligence-Reference-Cited by-同舟云学术

Automated Analysis of Alignment in Long-Leg Radiographs by Using a Fully Automated Support System Based on Artificial Intelligence

Published:2021-03-01 Issue:2 Volume:3 Page:e200198
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Schock Justus^ORCID,Truhn Daniel^ORCID,Abrar Daniel B.,Merhof Dorit^ORCID,Conrad Stefan^ORCID,Post Manuel^ORCID,Mittelstrass Felix,Kuhl Christiane^ORCID,Nebelung Sven^ORCID

Funder

Deutsche Forschungsgemeinschaft

START Program of the Faculty of Medicine, RWTH Aachen

Publisher

Radiological Society of North America (RSNA)

Subject

General Medicine

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2020200198

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1. The role of varus and valgus alignment in the initial development of knee cartilage damage by MRI: the MOST study

2. Valgus malalignment is a risk factor for lateral knee osteoarthritis incidence and progression: Findings from the multicenter osteoarthritis study and the osteoarthritis initiative

3. Deformity Planning for Frontal and Sagittal Plane Corrective Osteotomies

4. Inter-observer and intra-observer reliability of mechanical axis alignment before and after total knee arthroplasty using long leg radiographs

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