Results 11 to 20 of about 252,451 (298)

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images [PDF]

open access: yesMedical Image Anal., 2020
Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit clinical decision support systems for diagnosis, surgery planning, and ...
A. Sekuboyina   +40 more
semanticscholar   +1 more source

Vertebrae Localization, Segmentation and Identification Using a Graph Optimization and an Anatomic Consistency Cycle [PDF]

open access: yesMLMI@MICCAI, 2021
Vertebrae localization, segmentation and identification in CT images is key to numerous clinical applications. While deep learning strategies have brought to this field significant improvements over recent years, transitional and pathological vertebrae ...
Di Meng   +3 more
semanticscholar   +1 more source

Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models

open access: yesItalian National Conference on Sensors, 2022
The lumbar spine plays a very important role in our load transfer and mobility. Vertebrae localization and segmentation are useful in detecting spinal deformities and fractures.
Malaika Mushtaq   +4 more
semanticscholar   +1 more source

Hounsfield Unit for Assessing Bone Mineral Density Distribution Within Cervical Vertebrae and Its Correlation With the Intervertebral Disc Degeneration

open access: yesFrontiers in Endocrinology, 2022
Study Design Retrospective radiological analysis. Objective To assess bone mineral mass distribution within cervical vertebrae based on Hounsfield unit (HU) measurement, and explore its correlation with intervertebral disc degeneration.
Xiaoshen Liang   +4 more
semanticscholar   +1 more source

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

open access: yesScientific Reports, 2021
Automatic vertebrae localization and segmentation in computed tomography (CT) are fundamental for spinal image analysis and spine surgery with computer-assisted surgery systems.
Pengfei Cheng   +3 more
semanticscholar   +1 more source

Coarse to Fine Vertebrae Localization and Segmentation with SpatialConfiguration-Net and U-Net

open access: yesVISIGRAPP, 2020
: Localization and segmentation of vertebral bodies from spine CT volumes are crucial for pathological diagnosis, surgical planning, and postoperative assessment.
Christian Payer   +3 more
semanticscholar   +1 more source

Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior [PDF]

open access: yesInternational Conference on Medical Image Computing and Computer-Assisted Intervention, 2018
Robust localisation and identification of vertebrae is an essential part of automated spine analysis. The contribution of this work to the task is two-fold: (1) Inspired by the human expert, we hypothesise that a sagittal and coronal reformation of the ...
A. Sekuboyina   +6 more
semanticscholar   +1 more source

Usage and comparison of artificial intelligence algorithms for determination of growth and development by cervical vertebrae stages in orthodontics

open access: yesProgress in orthodontics, 2019
Growth and development can be determined by cervical vertebrae stages that were defined on the cephalometric radiograph. Artificial intelligence has the ability to perform a variety of activities, such as prediction-classification in many areas of life ...
Hatice Kök   +2 more
semanticscholar   +1 more source

A new dromaeosaurid (Dinosauria: Theropoda) from the Upper Cretaceous Wulansuhai Formation of Inner Mongolia, China [PDF]

open access: yes, 2010
We describe a new dromaeosaurid theropod from the Upper Cretaceous Wulansuhai Formation of Bayan Mandahu, Inner Mongolia. The new taxon, Linheraptor exquisitus gen. et sp.
Choiniere, J.N.   +10 more
core   +1 more source

Biomechanical Tolerance of Whole Lumbar Spines in Straightened Posture Subjected to Axial Acceleration [PDF]

open access: yes, 2017
Quantification of biomechanical tolerance is necessary for injury prediction and protection of vehicular occupants. This study experimentally quantified lumbar spine axial tolerance during accelerative environments simulating a variety of military and ...
Baisden, Jamie L.   +9 more
core   +2 more sources

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