Automated segmentation of tissues using CT and MRI: a systematic review

L Lenchik, L Heacock, AA Weaver, RD Boutin… - Academic radiology, 2019 - Elsevier
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …

[图书][B] Guide to medical image analysis

KD Toennies - 2017 - Springer
The methodology presented in the first edition was considered established practice or
settled science in the medical image analysis community in 2010–2011. Progress in this …

Federated learning-based vertebral body segmentation

J Liu, X Liang, R Yang, Y Luo, H Lu, L Li… - … Applications of Artificial …, 2022 - Elsevier
To ensure the safety of spinal surgery, sufficiently labeled Magnetic Resonance Imaging
(MRI) images are essential for training an accurate vertebral segmentation model, but the …

Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI

M Rak, J Steffen, A Meyer, C Hansen… - Computer Methods and …, 2019 - Elsevier
Abstract Background and Objective: We propose an automatic approach for fast vertebral
body segmentation in three-dimensional magnetic resonance images of the whole spine …

Preserving privacy in big data research: the role of federated learning in spine surgery

H Shahzad, C Veliky, H Le, S Qureshi, FM Phillips… - European Spine …, 2024 - Springer
Purpose Integrating machine learning models into electronic medical record systems can
greatly enhance decision-making, patient outcomes, and value-based care in healthcare …

Vertebral body segmentation in wide range clinical routine spine MRI data

G Hille, S Saalfeld, S Serowy, K Tönnies - Computer methods and …, 2018 - Elsevier
Background and objective: In this work we propose a 3D vertebral body segmentation
approach for clinical magnetic resonance (MR) spine imaging. So far, vertebrae …

Fully automatic cross-modality localization and labeling of vertebral bodies and intervertebral discs in 3D spinal images

M Wimmer, D Major, AA Novikov, K Bühler - International journal of …, 2018 - Springer
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 …

Fast and smart segmentation of paraspinal muscles in magnetic resonance imaging with CleverSeg

JS Ramos, MT Cazzolato, BS Faiçal… - … Patterns and Images …, 2019 - ieeexplore.ieee.org
Magnetic Resonance Imaging (MRI) is a non-invasive technique, which has been employed
to detect and diagnose many spine pathologies. In a Computer-Aided Diagnosis (CAD) …

A CNN-based framework for statistical assessment of spinal shape and curvature in whole-body MRI images of large populations

P Ernst, G Hille, C Hansen, K Tönnies… - Medical Image Computing …, 2019 - Springer
The extraction of spines from medical records in a fast yet accurate way is a challenging
task, especially for large data sets. Addressing this issue, we present a framework based on …

[HTML][HTML] The Application of Deep Learning to Accurately Identify the Dimensions of Spinal Canal and Intervertebral Foramen as Evaluated by the IoU Index

CY Wu, WC Yeh, SM Chang, CW Hsu, ZJ Lin - Bioengineering, 2024 - mdpi.com
Artificial intelligence has garnered significant attention in recent years as a rapidly
advancing field of computer technology. With the continual advancement of computer …