AIMC Topic: Bone Resorption

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Characterization and quantification of in-vitro equine bone resorption in 3D using μCT and deep learning-aided feature segmentation.

Bone May 20, 2024
High cyclic strains induce formation of microcracks in bone, triggering targeted bone remodeling, which entails osteoclastic resorption. Racehorse bone is an ideal model for studying the effects of high-intensity loading, as it is subject to focal fo...
Animals Deep Learning Imaging, Three-Dimensional Horses X-Ray Microtomography Bone Resorption Osteoclasts
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Trabeculae microstructure parameters serve as effective predictors for marginal bone loss of dental implant in the mandible.

Scientific reports Oct 28, 2020
Marginal bone loss (MBL) is one of the leading causes of dental implant failure. This study aimed to investigate the feasibility of machine learning (ML) algorithms based on trabeculae microstructure parameters to predict the occurrence of severe MBL...
Humans Neural Networks, Computer Female Cross-Sectional Studies Male Case-Control Studies Mandible Logistic Models Support Vector Machine Dental Implants Prosthesis Failure Cancellous Bone Bone Resorption
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A study of intracortical porosity's area fractions and aspect ratios using computer vision and pulse-coupled neural networks.

Medical & biological engineering & computing Sep 28, 2018
Employing computer vision (CV) and optimized pulse-coupled neural networks (PCNN), this work automatically quantifies the geometrical attributes of intracortical bone porosity (namely lacunae and canaliculi (L-C), Haversian canals, and resorption cav...
Neural Networks, Computer Artificial Intelligence Female Animals Cattle Image Processing, Computer-Assisted Porosity Femur Cortical Bone Bone Resorption Haversian System
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