3D multi-scale FCN with random modality voxel dropout learning for intervertebral disc localization and segmentation from multi-modality MR images

X Li, Q Dou, H Chen, CW Fu, X Qi, DL Belavý… - Medical image …, 2018 - Elsevier
Intervertebral discs (IVDs) are small joints that lie between adjacent vertebrae. The
localization and segmentation of IVDs are important for spine disease diagnosis and …

Automated detection, 3D segmentation and analysis of high resolution spine MR images using statistical shape models

A Neubert, J Fripp, C Engstrom… - Physics in Medicine …, 2012 - iopscience.iop.org
Recent advances in high resolution magnetic resonance (MR) imaging of the spine provide
a basis for the automated assessment of intervertebral disc (IVD) and vertebral body (VB) …

Automatic segmentation of lumbar spine MRI images based on improved attention U‐net

S Wang, Z Jiang, H Yang, X Li… - Computational …, 2022 - Wiley Online Library
Lumbar spine segmentation is important to help doctors diagnose lumbar disc herniation
(LDH) and patients' rehabilitation treatment. In order to accurately segment the lumbar spine …

On computerized methods for spine analysis in MRI: a systematic review

M Rak, KD Tönnies - International journal of computer assisted radiology …, 2016 - Springer
Purpose In the last decades, the increasing medical interest in magnetic resonance imaging
(MRI) of the spine gave rise to a growing number of publications on computerized methods …

[HTML][HTML] Distance-based confidence generation and aggregation of classifier for unstructured road detection

A Alam, L Singh, ZA Jaffery, YK Verma… - Journal of King Saud …, 2022 - Elsevier
Road region and non-road region separation in the unstructured road intends to be an
important task for safe navigation and collision avoidance for autonomous driving vehicles …

Graph cuts with invariant object-interaction priors: application to intervertebral disc segmentation

I Ben Ayed, K Punithakumar, G Garvin… - … Processing in Medical …, 2011 - Springer
This study investigates novel object-interaction priors for graph cut image segmentation with
application to intervertebral disc delineation in magnetic resonance (MR) lumbar spine …

Localization and segmentation of 3D intervertebral discs in MR images by data driven estimation

C Chen, D Belavy, W Yu, C Chu… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
This paper addresses the problem of fully-automatic localization and segmentation of 3D
intervertebral discs (IVDs) from MR images. Our method contains two steps, where we first …

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

G Zheng, C Chu, DL Belavý, B Ibragimov, R Korez… - Medical image …, 2017 - Elsevier
The evaluation of changes in Intervertebral Discs (IVDs) with 3D Magnetic Resonance (MR)
Imaging (MRI) can be of interest for many clinical applications. This paper presents the …

Deep neural network for automated simultaneous intervertebral disc (IVDs) identification and segmentation of multi-modal MR images

P Das, C Pal, A Acharyya, A Chakrabarti… - Computer Methods and …, 2021 - Elsevier
Background and objective: Lower back pain in humans has become a major risk. Classical
approaches follow a non-invasive imaging technique for the assessment of spinal …

Lumbar intervertebral disc segmentation for computer modeling and simulation

R Matos, PR Fernandes, N Matela… - Computer methods and …, 2023 - Elsevier
Background and objective The present work had as its main objective the development of a
method for localizing and automatically segmenting lumbar intervertebral discs (IVD) in 3D …