AIMC Topic: Legg-Calve-Perthes Disease

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Multimodal radiomics and deep learning models for predicting early femoral head deformity in LCPD.

European journal of radiology Oct 19, 2024
PURPOSE: To develop a predictive model combining clinical, radiomic, and deep learning features based on X-ray and MRI to identify risk factors for early femoral head deformity in Legg-Calvé-Perthes disease (LCPD).
Humans Retrospective Studies Female Radiomics Male Deep Learning Child, Preschool Child Magnetic Resonance Imaging Multimodal Imaging Predictive Value of Tests Femur Head Legg-Calve-Perthes Disease
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Semantic segmentation of the multiform proximal femur and femoral head bones with the deep convolutional neural networks in low quality MRI sections acquired in different MRI protocols.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 5, 2020
Medical image segmentation is one of the most crucial issues in medical image processing and analysis. In general, segmentation of the various structures in medical images is performed for the further image analyzes such as quantification, assessment...
Humans Neural Networks, Computer Female Male Adolescent Child, Preschool Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Femur Head Image Enhancement Femur Legg-Calve-Perthes Disease
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