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Deep Learning-Based Automatic Diagnosis System for Developmental Dysplasia of the Hip
To the best of our knowledge, this is the first study for objective DDH diagnosis by leveraging deep learning keypoint detection and integrating different anatomical measurements, which can provide reliable and explainable support for clinical decision-making.
Machine learning of percolation models using graph convolutional neural networks
Percolation is an important topic in climate, physics, materials science, epidemiology, finance, and so on.
Deep Learning-based End-to-end Diagnosis System for Avascular Necrosis of Femoral Head
To the best of our knowledge, this study is the first research on the prospective use of a deep learning-based diagnosis system for AVNFH by conducting two pilot studies representing real-world application scenarios.
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