AIMC Topic: Paraspinal Muscles

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Machine Learning for Automatic Paraspinous Muscle Area and Attenuation Measures on Low-Dose Chest CT Scans.

Academic radiology Jul 17, 2019
RATIONALE AND OBJECTIVES: To develop and evaluate an automated machine learning (ML) algorithm for segmenting the paraspinous muscles on chest computed tomography (CT) scans to evaluate for presence of sarcopenia.
Humans Machine Learning Algorithms Tomography, X-Ray Computed Female Aged Male Middle Aged Sarcopenia Radiation Dosage Paraspinal Muscles
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Artificial Intelligence in Spine and Paraspinal Muscle Analysis.

Advances in experimental medicine and biology Jan 1, 2024
Disorders affecting the neurological and musculoskeletal systems represent international health burdens. A significant impediment to progress with interventional trials is the absence of responsive, objective, and valid outcome measures sensitive to ...
Humans Artificial Intelligence Magnetic Resonance Imaging Spine Spinal Diseases Paraspinal Muscles
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A Deep-Learning-Based, Fully Automated Program to Segment and Quantify Major Spinal Components on Axial Lumbar Spine Magnetic Resonance Images.

Physical therapy Jun 1, 2021
OBJECTIVE: The paraspinal muscles have been extensively studied on axial lumbar magnetic resonance imaging (MRI) for better understanding of back pain; however, the acquisition of measurements mainly relies on manual segmentation, which is time consu...
Humans Female Aged Aged, 80 and over Young Adult Adult Cross-Sectional Studies Male Middle Aged Deep Learning China Image Processing, Computer-Assisted Magnetic Resonance Imaging Lumbar Vertebrae Paraspinal Muscles
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