Automated prediction of the Thoracolumbar Injury Classification and Severity Score from CT using a novel deep learning algorithm
出版年份 2022 全文链接
标题
Automated prediction of the Thoracolumbar Injury Classification and Severity Score from CT using a novel deep learning algorithm
作者
关键词
-
出版物
Neurosurgical Focus
Volume 52, Issue 4, Pages E5
出版商
Journal of Neurosurgery Publishing Group (JNSPG)
发表日期
2022-04-01
DOI
10.3171/2022.1.focus21745
参考文献
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- (2021) Zamir Merali et al. Scientific Reports
- Prediction Models in Degenerative Spine Surgery: A Systematic Review
- (2021) Daniel Lubelski et al. Global Spine Journal
- Machine learning in neurosurgery: a global survey
- (2020) Victor E. Staartjes et al. ACTA NEUROCHIRURGICA
- Computer-Aided Detection of Incidental Lumbar Spine Fractures from Routine Dual-Energy X-Ray Absorptiometry (DEXA) Studies Using a Support Vector Machine (SVM) Classifier
- (2019) Samir D. Mehta et al. JOURNAL OF DIGITAL IMAGING
- Development of machine learning algorithms for prediction of prolonged opioid prescription after surgery for lumbar disc herniation
- (2019) Aditya V. Karhade et al. Spine Journal
- Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients.
- (2019) Zachary DeVries et al. Spine Journal
- Thoracolumbar Injury Classification and Severity Score in children: a reliability study
- (2018) Ross L. Dawkins et al. Journal of Neurosurgery-Pediatrics
- Neurotrauma as a big-data problem
- (2018) J. Russell Huie et al. CURRENT OPINION IN NEUROLOGY
- Development of machine learning algorithms for prediction of discharge disposition after elective inpatient surgery for lumbar degenerative disc disorders
- (2018) Aditya V. Karhade et al. Neurosurgical Focus
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Vertebral Body Compression Fractures and Bone Density: Automated Detection and Classification on CT Images
- (2017) Joseph E. Burns et al. RADIOLOGY
- An overview of multi-task learning
- (2017) Yu Zhang et al. National Science Review
- Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images
- (2016) Lucas Frighetto-Pereira et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Management of thoracolumbar spine trauma An overvie
- (2015) S Rajasekaran et al. Indian Journal of Orthopaedics
- A Machine Learning Approach for Specification of Spinal Cord Injuries Using Fractional Anisotropy Values Obtained from Diffusion Tensor Images
- (2014) Bunheang Tay et al. Computational and Mathematical Methods in Medicine
- 3D Slicer as an image computing platform for the Quantitative Imaging Network
- (2012) Andriy Fedorov et al. MAGNETIC RESONANCE IMAGING
- A Novel Classification System for Spinal Instability in Neoplastic Disease
- (2010) Charles G. Fisher et al. SPINE
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