Back to search

Article

An externally validated deep learning model for the accurate segmentation of the lumbar paravertebral muscles

2021-10-26

Abstract excerpt

<h4>Purpos</h4> Imaging studies about the relevance of muscles in spinal disorders, and sarcopenia in general, require the segmentation of the muscles in the images which is very labour-intensive if performed manually and poses a practical limit to the number of investigated subjects. This study aimed at developing a deep learning-based tool able to fully automatically perform an accurate segmentation of the lumba...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c5d37742-2f83-504a-b31a-a1c3a591a337
DOI
10.1101/2021.10.25.21265466
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
An externally validated deep learning model for the accurate segmentation of the lumbar paravertebral musclesDOI 10.1101/2021.10.25.21265466
Automated Segmentation of Trunk Musculature with a Deep CNN Trained from Sparse Annotations in Radiation Therapy Patients with Metastatic Spine DiseaseSemantic proximity
DeepACSA: Automatic segmentation of anatomical cross-sectional area in ultrasound images of human lower limb muscles using deep learningSemantic proximity
Automated L3 Skeletal Muscle Segmentation for Evaluation of Sarcopenia: Development and Independent Validation of an Ensemble-Based 2D nnU-Net Pipeline in a Complex Liver Disease CohortSemantic proximity
CT imaging-derived phenotypes for abdominal muscle and their association with age and sex in a medical biobank.Semantic proximity
BackTracker: Machine learning to identify kinematic phenotypes for personalised exercise management in non-specific low back pain.Semantic proximity
Deep Learning-Based Quantitative Measurement Study of Spino-Pelvic Parameters in Adolescent Idiopathic Scoliosis PatientsSemantic proximity
Multi-pose-based Convolutional Neural Network Model for Diagnosis of Patients with Central Lumbar Spinal StenosisSemantic proximity
The Application of Deep Convolutional Neural Networks to Ultrasound for Modelling of Dynamic States within Human Skeletal MuscleSemantic proximity
A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI dataSemantic proximity
Segmentation of the Human Tongue Musculature Using MRI: Field Guide and Validation in Motor Neuron DiseaseSemantic proximity
Quality Control Matters: Automated Magnetic Resonance Imaging-based Abdominal Organ Segmentation in 20,000 Participants of the UK Biobank and German National Cohort Studies.Semantic proximity
Automated 3D Segmentation of Human Vagus Nerve Fascicles and Epineurium from Micro-Computed Tomography Images Using Anatomy-Aware Neural NetworksSemantic proximity
Select a neighboring publication to make it the new centre.