Optimization and Benchmarking of Image Segmentation for Improved Landmark Detection in Lower Limb X-Rays and Accurate Coronal Plane Alignment of the Knee Classification

Optimization and Benchmarking of Image Segmentation for Improved Landmark Detection in Lower Limb X-Rays and Accurate Coronal Plane Alignment of the Knee Classification

Recent studies have explored image segmentation for landmark detection in computer vision and medical imaging of the lower limb, showing promising results. However, the proposed methodologies vary significantly, and a comparison with existing methods is lacking. In the present study, we investigated...

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Bibliographic Details
Main Authors: Sebastian Amador Sanchez, Ashkan Zarghami, Philippe van Overschelde, Jef Vandemeulebroucke
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
CPAK classification
deep learning
image segmentation
landmark detection
lower limb X-rays
Online Access:https://ieeexplore.ieee.org/document/11008572/
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https://ieeexplore.ieee.org/document/11008572/

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