Automated detection and classification of the rotator cuff tear on plain shoulder radiograph using deep learning-Reference-Cited by-同舟云学术

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Automated detection and classification of the rotator cuff tear on plain shoulder radiograph using deep learning

Published:2024-08 Issue:8 Volume:33 Page:1733-1739
ISSN:1058-2746
Container-title:Journal of Shoulder and Elbow Surgery
language:en
Short-container-title:Journal of Shoulder and Elbow Surgery

Author:

Hashimoto Eiko,Maki Satoshi^ORCID,Ochiai Nobuyasu^ORCID,Ise Shohei^ORCID,Inagaki Kenta,Hiraoka Yu^ORCID,Hattori Fumiya^ORCID,Ohtori Seiji^ORCID

Publisher

Elsevier BV

Reference30 articles.

1. The accuracy of plain radiographs in diagnosing degenerate rotator cuff disease;Chin;Shoulder Elbow,2019

2. Automated detection and classification of the proximal humerus fracture by using deep learning algorithm;Chung;Acta Orthop,2018

3. Subscapular muscle transposition for repair of chronic rotator cuff tears;Cofield;Surg Gynecol Obstet,1982

4. Shoulder impingement syndrome: radiographic evaluation;Cone;Radiology,1984

5. Deep learning for accurately recognizing common causes of shoulder pain on radiographs;Grauhan;Skeletal Radiol,2022

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