AIMC Topic: Magnetic Resonance Imaging
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Comparison of wavelet transformations to enhance convolutional neural network performance in brain tumor segmentation.
BMC medical informatics and decision making
Nov 23, 2021
INTRODUCTION AND GOAL TO BACKGROUND: Due to the importance of segmentation of MRI images in identifying brain tumors, various methods including deep learning have been introduced for automatic brain tumor segmentation. On the other hand, using a comb...
A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease.
Computers in biology and medicine
Nov 22, 2021
Ageing is associated with various ailments including Alzheimer 's disease (AD), which is a progressive form of dementia. AD symptoms develop over a period of years and, unfortunately, there is no cure. Existing AD treatments can only slow down the pr...
Automatic quadriceps and patellae segmentation of MRI with cascaded U -Net and SASSNet deep learning model.
Medical physics
Nov 22, 2021
PURPOSE: Automatic muscle segmentation is critical for advancing our understanding of human physiology, biomechanics, and musculoskeletal pathologies, as it allows for timely exploration of large multi-dimensional image sets. Segmentation models are ...
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method.
Computers in biology and medicine
Nov 21, 2021
BACKGROUND: Alzheimer's disease is a chronic neurodegenerative disease that destroys brain cells, causing irreversible degeneration of cognitive functions and dementia. Its causes are not yet fully understood, and there is no curative treatment. Howe...
Deep learning-based diagnosis of temporal lobe epilepsy associated with hippocampal sclerosis: An MRI study.
Epilepsy research
Nov 21, 2021
PURPOSE: The currently available indicators-sensitivity and specificity of expert radiological evaluation of MRIs-to identify mesial temporal lobe epilepsy (MTLE) associated with hippocampal sclerosis (HS) are deficient, as they cannot be easily asse...
Comparison of machine learning and deep learning for view identification from cardiac magnetic resonance images.
Clinical imaging
Nov 19, 2021
BACKGROUND: Artificial intelligence is increasingly utilized to aid in the interpretation of cardiac magnetic resonance (CMR) studies. One of the first steps is the identification of the imaging plane depicted, which can be achieved by both deep lear...
Breast imaging: Beyond the detection.
European journal of radiology
Nov 19, 2021
Breast cancer is a heterogeneous disease nowadays, including different biological subtypes with a variety of possible treatments, which aim to achieve the best outcome in terms of response to therapy and overall survival. In recent years breast imagi...
Fully automated deep learning-based localization and segmentation of the locus coeruleus in aging and Parkinson's disease using neuromelanin-sensitive MRI.
International journal of computer assisted radiology and surgery
Nov 19, 2021
PURPOSE: Development and performance measurement of a fully automated pipeline that localizes and segments the locus coeruleus in so-called neuromelanin-sensitive magnetic resonance imaging data for the derivation of quantitative biomarkers of neurod...
Effect of data leakage in brain MRI classification using 2D convolutional neural networks.
Scientific reports
Nov 19, 2021
In recent years, 2D convolutional neural networks (CNNs) have been extensively used to diagnose neurological diseases from magnetic resonance imaging (MRI) data due to their potential to discern subtle and intricate patterns. Despite the high perform...
Reproducibility of Results
Aged
Aged, 80 and over
Brain
Female
Middle Aged
Case-Control Studies
Deep Learning
Cross-Sectional Studies
Male
Humans
Neural Networks, Computer
Neuroimaging
Predictive Value of Tests
Alzheimer Disease
Image Interpretation, Computer-Assisted
Magnetic Resonance Imaging
Parkinson Disease
Native-resolution myocardial principal Eulerian strain mapping using convolutional neural networks and Tagged Magnetic Resonance Imaging.
Computers in biology and medicine
Nov 18, 2021
BACKGROUND: Assessment of regional myocardial function at native pixel-level resolution can play a crucial role in recognizing the early signs of the decline in regional myocardial function. Extensive data processing in existing techniques limits the...
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