Artificial intelligence, machine learning and deep learning in musculoskeletal imaging: Current applications-Reference-Cited by-同舟云学术

Artificial intelligence, machine learning and deep learning in musculoskeletal imaging: Current applications

Published:2022-09-07 Issue:9 Volume:50 Page:1414-1431
ISSN:0091-2751
Container-title:Journal of Clinical Ultrasound
language:en
Short-container-title:J of Clinical Ultrasound

Author:

D'Angelo Tommaso¹²^ORCID,Caudo Danilo¹³,Blandino Alfredo¹,Albrecht Moritz H.⁴,Vogl Thomas J.⁵,Gruenewald Leon D.⁴,Gaeta Michele¹,Yel Ibrahim⁴,Koch Vitali⁴,Martin Simon S.⁴,Lenga Lukas⁴,Muscogiuri Giuseppe⁶⁷,Sironi Sandro⁶⁸,Mazziotti Silvio¹,Booz Christian⁴

Affiliation:

1. Department of Biomedical Sciences and Morphological and Functional Imaging University Hospital Messina Messina Italy

2. Department of Radiology and Nuclear Medicine Rotterdam Netherlands

3. Department or Radiology, IRRCS Centro Neurolesi “Bonino Pulejo” Messina Italy

4. Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology University Hospital Frankfurt Frankfurt am Main Germany

5. Department of Diagnostic and Interventional Radiology University Hospital Frankfurt Frankfurt am Main Germany

6. School of Medicine and Surgery University of Milano‐Bicocca Milan Italy

7. Department of Radiology, IRCCS Istituto Auxologico Italiano San Luca Hospital Milan Italy

8. Department of Radiology ASST Papa Giovanni XXIII Hospital Bergamo Italy

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcu.23321

Reference105 articles.

1. The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload

2. Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

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