Concurrent Learning Approach for Estimation of Pelvic Tilt from Anterior–Posterior Radiograph

Concurrent Learning Approach for Estimation of Pelvic Tilt from Anterior–Posterior Radiograph

Accurate and reliable estimation of the pelvic tilt is one of the essential pre-planning factors for total hip arthroplasty to prevent common post-operative complications such as implant impingement and dislocation. Inspired by the latest advances in deep learning-based systems, our focus in this pa...

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Bibliographic Details
Main Authors: Ata Jodeiri, Hadi Seyedarabi, Sebelan Danishvar, Seyyed Hossein Shafiei, Jafar Ganjpour Sales, Moein Khoori, Shakiba Rahimi, Seyed Mohammad Javad Mortazavi
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Bioengineering
Subjects:
total hip arthroplasty
pelvic tilt
multi-task learning
convolutional neural network
segmentation
VGG
Online Access:https://www.mdpi.com/2306-5354/11/2/194

Internet

https://www.mdpi.com/2306-5354/11/2/194

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