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Category:All Headlines World & Geopolitics Markets & Economy Tech & AI PoliticsSearch results for: "Automated lumbar spine se" (30 stories)

Automated lumbar spine segmentation in MRI using an enhanced U-Net with inception module and dual-output mechanism

Lead StoryNaturegeneral

Nov 10, 2025

Automated lumbar spine segmentation in MRI using an enhanced U-Net with inception module and dual-output mechanism

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE03Q2M0VGtVYnhfVVRQVE9QMGZLQ1AtTjExUXpNdmdHTGZkdEpIOTROcWR4dHVHbS11bVVQTUlXQTl0VlBVMzEyUVhwdW9Vd3dydzFKNWRYY1R6SjFCWVM0?oc=5" target="_blank">Automated lumbar spine segmentation in MRI using an enhanced U-Net with inception module and dual-output mechanism</a>&nbsp;&nbsp;Nature

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Search Results for "Automated lumbar spine se"

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$Fully automated system predicts osteoporotic vertebral fracture across institutions using lumbar MRI paraspinal muscle signatures$

Naturegeneral

Jun 4

Fully automated system predicts osteoporotic vertebral fracture across institutions using lumbar MRI paraspinal muscle signatures

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB6M3lJRmJ1ejZEVHR2Q1U5OVhJLU5wbUlRTnlfMTJfazZ3UEtMUzI5ajEwNlNSaGZxTGhKRzc0dGlHRTlYeDh1eGhuQ3B0aWpneUdZTExaTGtSbWh1QXVn?oc=5" target="_blank">Fully automated system predicts osteoporotic vertebral fracture across institutions using lumbar MRI paraspinal muscle signatures</a>&nbsp;&nbsp;Nature

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Automated lumbar spine segmentation in MRI using an enhanced U-Net with inception module and dual-output mechanism

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Search Results for "Automated lumbar spine se"

Fully automated system predicts osteoporotic vertebral fracture across institutions using lumbar MRI paraspinal muscle signatures

Automated treatment planning for brain and spinal metastases

Leveraging automated machine learning to benchmark, deconstruct, and compare frailty indices for predicting adverse spinal surgery outcomes

Multicenter Validation of Automated Segmentation and Composition Analysis of Lumbar Paraspinal Muscles Using Multisequence MRI

Automated magnetic resonance imaging‐based grading of the lumbar intervertebral disc and facet joints

Assessing osteosarcopenia using automated multi-structure-segmentation and Hounsfield unit-based analysis of lumbar muscles and vertebral bodies on computed tomography

Multicenter Validation of Automated Segmentation and Composition Analysis of Lumbar Paraspinal Muscles Using Multisequence MRI

Medical Spine Sagittal MRI Dataset for Segmentation and Foraminal Stenosis detection

Balancing accuracy and efficiency in lumbar spine image segmentation using multi-scale attention and residual learning

Automated detection, labelling and radiological grading of clinical spinal MRIs

Streamlined and efficient patient-specific modeling for lumbar spine segmentation and finite element analysis

Deep learning-based automatic detection and grading of disk herniation in lumbar magnetic resonance images

Automatic detection, classification, and segmentation of sagittal MR images for diagnosing prolapsed lumbar intervertebral disc

Boundary sensitive-net-based lumbar vertebra segmentation and spondylolisthesis measurement

Automated diagnostic of cervical spondylosis on multimodal medical images with a multi-task deep learning model

Convolutional neural networks for the automatic segmentation of lumbar paraspinal muscles in people with low back pain

Feasibility of automatic screw planning via transformer-based shape completion from RGB-D imaging

MRI grading of lumbar disc herniation based on AFFM-YOLOv8 system

Attention LinkNet-152: a novel encoder-decoder based deep learning network for automated spine segmentation

Gender differences in L1 vertebral strength in adults 50+ using automated CT-based finite element analysis

Structure-aware multi-task learning with domain generalization for robust vertebrae analysis in spinal CT

VertXNet: an ensemble method for vertebral body segmentation and identification from cervical and lumbar spinal X-rays

Deep learning algorithm for the automatic assessment of axial vertebral rotation in patients with scoliosis using the Nash–Moe method

FAU/Baptist Health AI Spine Model Could Transform Back Pain Treatment

Lumbar Disc Herniation Automatic Detection in Magnetic Resonance Imaging Based on Deep Learning

Multi-scanner and multi-modal lumbar vertebral body and intervertebral disc segmentation database

Automatic vertebrae localization and segmentation in CT with a two-stage Dense-U-Net

A fully automatic MRI‐guided decision support system for lumbar disc herniation using machine learning

Automated selection of mid-height intervertebral disc slice in traverse lumbar spine MRI using a combination of deep learning feature and machine learning classifier