Back to search

Article

Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI

2023-04-07

Abstract excerpt

This study aimed to develop a deep learning (DL) algorithm for automated detection and localization of posterior ligamentous complex (PLC) injury in patients with acute thoracolumbar (TL) fracture on magnetic resonance imaging (MRI) and evaluate its diagnostic performance. In this retrospective and multicenter study, using midline sagittal T2-weighted image with fracture (± PLC injury), a training dataset and inte...

Topics

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

Identifiers and source

Literature Corpus work
5d2ff61b-7e1a-5024-8c73-d8eb51bc37e7
DOI
10.21203/rs.3.rs-2740761/v1
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.
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRIDOI 10.21203/rs.3.rs-2740761/v1
LisfrancNet: An Advanced DenseNet-Based Deep Learning Model for Automated Detection of Lisfranc Injuries on RadiographsSemantic proximity
Automated Segmentation of Trunk Musculature with a Deep CNN Trained from Sparse Annotations in Radiation Therapy Patients with Metastatic Spine DiseaseSemantic proximity
Accurate Automatic Detection Method to Assist Physicians in Diagnosing Early Nondisplaced Fractures of Femoral NeckSemantic proximity
Deep Learning for Predicting Lumbar Instability Using Neutral Lateral Lumbar Radiographs: A Retrospective StudySemantic proximity
Comparative Analysis of Yolov5 and Yolov8 Deep Learning Models in the Detection and Anatomical Classification of Mandibular FracturesSemantic proximity
Deep learning algorithms enable MRI-based scapular morphology analysis with values comparable to CT-based assessmentsSemantic proximity
SCIseg: Automatic Segmentation of T2-weighted Intramedullary Lesions in Spinal Cord InjurySemantic proximity
A Three-Phase Explainable Deep Learning Approach for Reliable Wrist Fracture Identification from X-Ray ImagesSemantic proximity
Synthetic Lumbar fracture CT images from X-ray base on PR-GANSemantic proximity
An externally validated deep learning model for the accurate segmentation of the lumbar paravertebral musclesSemantic proximity
DeepACSA: Automatic segmentation of anatomical cross-sectional area in ultrasound images of human lower limb muscles using deep learningSemantic proximity
A dynamic nomogram for predicting knee osteoarthritis after sports injury based on MR imaging features, demographics and clinical sport-related factors in cold regions of northern ChinaSemantic proximity
Select a neighboring publication to make it the new centre.