Computer-aided diagnosis of Canine Hip Dysplasia using deep learning approach in a novel X-ray image dataset-Reference-Cited by-同舟云学术

Computer-aided diagnosis of Canine Hip Dysplasia using deep learning approach in a novel X-ray image dataset

Published:2023-11-02 Issue: Volume: Page:1-11
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Boufenar Chaouki¹,Logovi Tété Elom Mike Norbert²,Samir Djemai³,Lassakeur Imad Eddine²

Affiliation:

1. Computer Science Department, University of Algiers, Algiers, Algeria

2. Computer Science and Software Engineering Department, University of Laval, Québec, Canada

3. Institute of Veterinary Sciences, University of Constantine 1, Constantine, Algeria

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2274947

Reference25 articles.

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3. A retrospective study of canine hip dysplasia in 116 military working dogs. Part I: Angle measurements and orthopedic foundation for animals (OFA) grading

4. A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images

5. Development of a deep convolutional neural network to predict grading of canine meningiomas from magnetic resonance images