Enhancing hip fracture risk prediction by statistical modeling and texture analysis on DXA images

Author:

Jazinizadeh Fatemeh,Quenneville Cheryl E.

Publisher

Elsevier BV

Subject

Biomedical Engineering,Biophysics

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Application of Superpixel Clustering Algorithm to Hip Joint Image Segmentation Registration;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

2. A CNN-based strategy to automate contour detection of the hip and proximal femur using DXA hip images from longitudinal databases (CLSA and CaMos);Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-12-26

3. The effect of femur positioning on dual-energy X-ray absorptiometry (DXA) measures and statistical shape and appearance modeling (SSAM) fracture risk assessments;Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine;2023-12-19

4. Application of statistical shape modeling to the human hip joint: a scoping review;JBI Evidence Synthesis;2023-01-30

5. Disease Risk Level Prediction Using Ensemble Classifiers: An Algorithmic Analysis;2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence);2022-01-27

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