Leveraging MRI characterization of longitudinal tears of the deep digital flexor tendon in horses using machine learning-Reference-Cited by-同舟云学术

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Leveraging MRI characterization of longitudinal tears of the deep digital flexor tendon in horses using machine learning

Published:2022-04-12 Issue:5 Volume:63 Page:580-592
ISSN:1058-8183
Container-title:Veterinary Radiology & Ultrasound
language:en
Short-container-title:Vet Radiology Ultrasound

Author:

ELKhamary Ahmed N.¹,Keenihan Erin K.²,Schnabel Lauren V.³^ORCID,Redding William R.³,Schumacher Jim⁴

Affiliation:

1. Department of Surgery, Radiology and Anesthesiology, Faculty of Veterinary Medicine Damanhour University Damanhour Behera Egypt

2. Department of Molecular and Biomedical Sciences, College of Veterinary Medicine North Carolina State University Raleigh North Carolina USA

3. Department of Clinical Sciences North Carolina State University Raleigh North Carolina USA

4. Large Animal Clinical Sciences University of Tennessee College of Veterinary Medicine Knoxville Tennessee USA

Publisher

Wiley

Subject

General Veterinary

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/vru.13090

Reference40 articles.

1. Nonseptic tenosynovitis of the digital flexor tendon sheath caused by longitudinal tears in the digital flexor tendons: A retrospective study of 135 tenoscopic procedures

2. Noninfected tenosynovitis of the digital flexor tendon sheath: a retrospective analysis of 76 cases

3. Tenosynovitis of the digital flexor tendon sheath and annular ligament constriction syndrome caused by longitudinal tears in the deep digital flexor tendon: a clinical and surgical report of 17 cases in Warmblood horses

4. Tenosynovitis associated with longitudinal tears of the digital flexor tendons in horses: A report of 20 cases

5. Enhanced ultrasonographic imaging of the equine distal limb using saline injection of the digital flexor tendon sheath: A cadaver study

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3. Scoping Review of Machine Learning and Deep Learning Algorithm Applications in Veterinary Clinics: Situation Analysis and Suggestions for Further Studies;Journal of Veterinary Clinics;2023-08-31

4. Artificial intelligence in veterinary diagnostic imaging: A literature review;Veterinary Radiology & Ultrasound;2022-12

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