AIMC Topic: Magnetic Resonance Imaging

Clear Filters Showing 2501 to 2510 of 6074 articles

An externally validated deep learning model for the accurate segmentation of the lumbar paravertebral muscles.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Jul 19, 2022
PURPOSE: Imaging studies about the relevance of muscles in spinal disorders, and sarcopenia in general, require the segmentation of the muscles in the images which is very labour-intensive if performed manually and poses a practical limit to the numb...
Paraspinal Muscles Lumbosacral Region Muscles Magnetic Resonance Imaging Sarcopenia Humans Retrospective Studies Deep Learning
View on PubMed DOI

Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation.

IEEE transactions on cybernetics Jul 19, 2022
In this article, we elaborate on a Kullback-Leibler (KL) divergence-based Fuzzy C -Means (FCM) algorithm by incorporating a tight wavelet frame transform and morphological reconstruction (MR). To make membership degrees of each image pixel closer to ...
Algorithms Image Processing, Computer-Assisted Cluster Analysis Wavelet Analysis Magnetic Resonance Imaging Fuzzy Logic
View on PubMed DOI

Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication study.

BMJ open Jul 18, 2022
OBJECTIVES: To determine the reproducibility and replicability of studies that develop and validate segmentation methods for brain tumours on MRI and that follow established reproducibility criteria; and to evaluate whether the reporting guidelines a...
Glioma Magnetic Resonance Imaging Deep Learning Image Processing, Computer-Assisted Reproduction Reproducibility of Results Humans Brain Neoplasms
View on PubMed DOI

Multi-mask self-supervised learning for physics-guided neural networks in highly accelerated magnetic resonance imaging.

NMR in biomedicine Jul 17, 2022
Self-supervised learning has shown great promise because of its ability to train deep learning (DL) magnetic resonance imaging (MRI) reconstruction methods without fully sampled data. Current self-supervised learning methods for physics-guided recons...
Neural Networks, Computer Image Processing, Computer-Assisted Humans Physics Magnetic Resonance Imaging Supervised Machine Learning
View on PubMed DOI

Cardiac MRI segmentation with sparse annotations: Ensembling deep learning uncertainty and shape priors.

Medical image analysis Jul 16, 2022
The performance of deep learning for cardiac magnetic resonance imaging (MRI) segmentation is oftentimes degraded when using small datasets and sparse annotations for training or adapting a pre-trained model to previously unseen datasets. Here, we de...
Magnetic Resonance Imaging Heart Deep Learning Uncertainty Image Processing, Computer-Assisted Humans
View on PubMed DOI

A new brain tumor diagnostic model: Selection of textural feature extraction algorithms and convolution neural network features with optimization algorithms.

Computers in biology and medicine Jul 16, 2022
Brain tumors are one of the most dangerous diseases that affect human health and maybe result in death. Detection of brain tumors can be made by using biopsy. However, this is an invasive procedure. It is an extremely dangerous procedure because it c...
Humans Brain Neoplasms Magnetic Resonance Imaging Neural Networks, Computer Support Vector Machine Algorithms
View on PubMed DOI

3D Convolutional Neural Network Framework with Deep Learning for Nuclear Medicine.

Scanning Jul 16, 2022
Though artificial intelligence (AI) has been used in nuclear medicine for more than 50 years, more progress has been made in deep learning (DL) and machine learning (ML), which have driven the development of new AI abilities in the field. ANNs are us...
Magnetic Resonance Imaging Neural Networks, Computer Artificial Intelligence Nuclear Medicine Deep Learning
View on PubMed DOI

A Feasibility Study on Deep Learning Based Brain Tumor Segmentation Using 2D Ellipse Box Areas.

Sensors (Basel, Switzerland) Jul 15, 2022
In most deep learning-based brain tumor segmentation methods, training the deep network requires annotated tumor areas. However, accurate tumor annotation puts high demands on medical personnel. The aim of this study is to train a deep network for se...
Feasibility Studies Humans Image Processing, Computer-Assisted Brain Neoplasms Magnetic Resonance Imaging Deep Learning
View on PubMed DOI

Impact of deep learning architectures on accelerated cardiac T mapping using MyoMapNet.

NMR in biomedicine Jul 14, 2022
The objective of the current study was to investigate the performance of various deep learning (DL) architectures for MyoMapNet, a DL model for T estimation using accelerated cardiac T mapping from four T -weighted images collected after a single inv...
Heart Image Interpretation, Computer-Assisted Humans Magnetic Resonance Imaging Myocardium Reproducibility of Results Deep Learning
View on PubMed DOI

Deep learning with multiresolution handcrafted features for brain MRI segmentation.

Artificial intelligence in medicine Jul 14, 2022
The segmentation of magnetic resonance (MR) images is a crucial task for creating pseudo computed tomography (CT) images which are used to achieve positron emission tomography (PET) attenuation correction. One of the main challenges of creating pseud...
Magnetic Resonance Imaging Tomography, X-Ray Computed Deep Learning Neural Networks, Computer Brain
View on PubMed DOI
Popular Topics
Recent Journals