3D multi-scale FCN with random modality voxel dropout learning for intervertebral disc localization and segmentation from multi-modality MR images
Intervertebral discs (IVDs) are small joints that lie between adjacent vertebrae. The
localization and segmentation of IVDs are important for spine disease diagnosis and …
localization and segmentation of IVDs are important for spine disease diagnosis and …
Deep neural network for automated simultaneous intervertebral disc (IVDs) identification and segmentation of multi-modal MR images
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 …
approaches follow a non-invasive imaging technique for the assessment of spinal …
Quantitative analysis of spinal canal areas in the lumbar spine: an imaging informatics and machine learning study
B Gaonkar, D Villaroman, J Beckett… - American Journal …, 2019 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Quantitative imaging biomarkers have not been
established for the diagnosis of spinal canal stenosis. This work aimed to lay the …
established for the diagnosis of spinal canal stenosis. This work aimed to lay the …
Quantitative analysis of neural foramina in the lumbar spine: an imaging informatics and machine learning study
B Gaonkar, J Beckett, D Villaroman, C Ahn… - Radiology: Artificial …, 2019 - pubs.rsna.org
Purpose To use machine learning tools and leverage big data informatics to statistically
model the variation in the area of lumbar neural foramina in a large asymptomatic …
model the variation in the area of lumbar neural foramina in a large asymptomatic …
Simultaneous volumetric segmentation of vertebral bodies and intervertebral discs on fat-water MR images
F Fallah, SS Walter, F Bamberg… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Fat-water magnetic resonance (MR) images allow automated noninvasive analysis of
morphological properties and fat fractions of vertebral bodies (VBs) and inter-vertebral discs …
morphological properties and fat fractions of vertebral bodies (VBs) and inter-vertebral discs …
Fully automatic cross-modality localization and labeling of vertebral bodies and intervertebral discs in 3D spinal images
Purpose We present a cross-modality and fully automatic pipeline for labeling of
intervertebral discs and vertebrae in volumetric data of the lumbar and thoracolumbar spine …
intervertebral discs and vertebrae in volumetric data of the lumbar and thoracolumbar spine …
Automatic segmentation and 3D reconstruction of spine based on FCN and marching cubes in CT volumes
L Fang, J Liu, J Liu, R Mao - 2018 10th International …, 2018 - ieeexplore.ieee.org
The spine is of great significance in the course of radiotherapy. The accurate location of the
spine can provide reference for the determination of the tumor target area and the endanger …
spine can provide reference for the determination of the tumor target area and the endanger …
[图书][B] Maximizing the Data Utilization Efficiency in Medical Imaging Diagnosis: From Full Supervision to Weak Supervision
X Li - 2019 - search.proquest.com
The annotated data provided by experienced experts is at the core of AI-powered automatic
medical imaging diagnosis systems. It is expensive and hard to obtain on a large scale …
medical imaging diagnosis systems. It is expensive and hard to obtain on a large scale …
[HTML][HTML] Segmentation automatique de la colonne vertébrale lombaire à partir d'images à résonance magnétique par combinaison de réseau de neurones convolutifs …
F Ben Dhaou - 2019 - espace.etsmtl.ca
Le mal de dos, le mal du siècle comme beaucoup de gens le décrivent, est un terme général
pour une maladie potentiellement grave et l'un des problèmes médicaux les plus courants …
pour une maladie potentiellement grave et l'un des problèmes médicaux les plus courants …