AIMC Topic:
Magnetic Resonance Imaging

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The utility of automatic segmentation of kidney MRI in chronic kidney disease using a 3D convolutional neural network.

Scientific reports Oct 13, 2023
We developed a 3D convolutional neural network (CNN)-based automatic kidney segmentation method for patients with chronic kidney disease (CKD) using MRI Dixon-based T1-weighted in-phase (IP)/opposed-phase (OP)/water-only (WO) images. The dataset comp...
Humans Kidney Renal Insufficiency, Chronic Magnetic Resonance Imaging Neural Networks, Computer Image Processing, Computer-Assisted
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Unsupervised deep learning registration model for multimodal brain images.

Journal of applied clinical medical physics Oct 12, 2023
Multimodal image registration is a key for many clinical image-guided interventions. However, it is a challenging task because of complicated and unknown relationships between different modalities. Currently, deep supervised learning is the state-of-...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Humans Deep Learning Neural Networks, Computer
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Classification of Brain Tumor Images Using CNN.

Computational intelligence and neuroscience Oct 12, 2023
A brain tumor is a serious malignant condition caused by unregulated as well as aberrant cell partitioning. Recent advances in deep learning have aided the healthcare business, particularly, diagnostic imaging for the diagnosis of numerous disorders....
Neuroimaging Brain Neoplasms Humans Magnetic Resonance Imaging Machine Learning
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U-Net based vessel segmentation for murine brains with small micro-magnetic resonance imaging reference datasets.

PloS one Oct 12, 2023
Identification and quantitative segmentation of individual blood vessels in mice visualized with preclinical imaging techniques is a tedious, manual or semiautomated task that can require weeks of reviewing hundreds of levels of individual data sets....
Mice Neural Networks, Computer Magnetic Resonance Imaging Brain Animals Image Processing, Computer-Assisted
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Editorial for "Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma".

Journal of magnetic resonance imaging : JMRI Oct 11, 2023
Radiomics Deep Learning Humans Neoplasm Recurrence, Local Image Processing, Computer-Assisted Disease-Free Survival Magnetic Resonance Imaging Liver Liver Neoplasms Carcinoma, Hepatocellular
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Editorial for "Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics: Strategies for Reducing Inter-Observer Variability".

Journal of magnetic resonance imaging : JMRI Oct 11, 2023
Magnetic Resonance Imaging Breast Breast Density Observer Variation Deep Learning Breast Neoplasms Image Processing, Computer-Assisted Radiomics Female Reproducibility of Results Humans
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A preliminary exploration into top-down and bottom-up deep-learning approaches to localising neuro-interventional point targets in volumetric MRI.

International journal of computer assisted radiology and surgery Oct 10, 2023
PURPOSE: Point localisation is a critical aspect of many interventional planning procedures, specifically representing anatomical regions of interest or landmarks as individual points. This could be seen as analogous to the problem of visual search i...
Deep Learning Magnetic Resonance Imaging Neural Networks, Computer Machine Learning Humans
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Multimodal hybrid convolutional neural network based brain tumor grade classification.

BMC bioinformatics Oct 10, 2023
An abnormal growth or fatty mass of cells in the brain is called a tumor. They can be either healthy (normal) or become cancerous, depending on the structure of their cells. This can result in increased pressure within the cranium, potentially causin...
Brain Brain Neoplasms Tomography, X-Ray Computed Magnetic Resonance Imaging Humans Neural Networks, Computer
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Deep Learning-Based T2-Weighted MR Image Quality Assessment and Its Impact on Prostate Cancer Detection Rates.

Journal of magnetic resonance imaging : JMRI Oct 9, 2023
BACKGROUND: Image quality evaluation of prostate MRI is important for successful implementation of MRI into localized prostate cancer diagnosis.
Middle Aged Prostate-Specific Antigen Algorithms Deep Learning Prostate Aged Retrospective Studies Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Male Prostatic Neoplasms
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3D Ultrasonic Brain Imaging with Deep Learning Based on Fully Convolutional Networks.

Sensors (Basel, Switzerland) Oct 9, 2023
Compared to magnetic resonance imaging (MRI) and X-ray computed tomography (CT), ultrasound imaging is safer, faster, and more widely applicable. However, the use of conventional ultrasound in transcranial brain imaging for adults is predominantly hi...
Humans Magnetic Resonance Imaging Brain Deep Learning Ultrasonics Image Processing, Computer-Assisted Adult Neuroimaging
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