Abstract: We propose a fully automated spine MRI image segmentation method based on an extension of the multiscale Singularity Index.
ABSTRACT. We propose a fully automated spine MRI image segmentation method based on an extension of the multiscale Singularity Index.
Other deep learning techniques using Convolutional Neural Network (CNN) relied on segmentation of the vertebrae region instance-by instance using information ...
Lumbar spine segmentation in MR images: a dataset and a public ...
pmc.ncbi.nlm.nih.gov › PMC10908819
This paper presents a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, ...
Missing: extraction | Show results with:extraction
This study proposed a fully automated approach for spinal cord segmentation from 2D axial-view MRI slices of patients with CSM.
Missing: extraction | Show results with:extraction
Oct 29, 2024 · This study introduces an automatic approach to whole spine segmentation, including posterior elements, in arbitrary fields of view T2w sagittal MR images.
An unsupervised segmentation method that automatically extracts the spinal canal in the sagittal plane of magnetic resonance (MR) images based on a novel ...
A cross-validation method was used to propose the use of convolutional neural networks for precise segmentation of spinal MRI images.
Missing: sagittal | Show results with:sagittal
This work addresses problems associated with the automatic semantic segmentation of lumbar spine magnetic resonance images using convolutional neural networks.