AIMC Topic: Magnetic Resonance Imaging

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Brain tumor classification of magnetic resonance images using a novel CNN-based medical image analysis and detection network in comparison with AlexNet.

Journal of population therapeutics and clinical pharmacology = Journal de la therapeutique des populations et de la pharmacologie clinique Mar 18, 2022
AIM: This research work aims at developing an automatic medical image analysis and detection for accurate classification of brain tumors from a magnetic resonance imaging (MRI) dataset. We developed a new MIDNet18 CNN architecture in comparison with ...
Brain Neoplasms Algorithms Magnetic Resonance Imaging Brain Humans Neural Networks, Computer
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Evaluation and Monitoring of Endometrial Cancer Based on Magnetic Resonance Imaging Features of Deep Learning.

Contrast media & molecular imaging Mar 18, 2022
This study was aimed to compare and analyze the magnetic resonance imaging (MRI) manifestations and surgical pathological results of endometrial cancer (EC) and to explore the clinical research of MRI in the diagnosis and staging of EC. . 80 patients...
Predictive Value of Tests Endometrial Neoplasms Neural Networks, Computer Deep Learning Female Humans Magnetic Resonance Imaging
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Dense, deep learning-based intracranial aneurysm detection on TOF MRI using two-stage regularized U-Net.

Journal of neuroradiology = Journal de neuroradiologie Mar 17, 2022
BACKGROUND AND PURPOSE: The prevalence of unruptured intracranial aneurysms in the general population is high and aneurysms are usually asymptomatic. Their diagnosis is often fortuitous on MRI and might be difficult and time consuming for the radiolo...
Angiography, Digital Subtraction Intracranial Aneurysm Sensitivity and Specificity Deep Learning Magnetic Resonance Imaging Humans Magnetic Resonance Angiography Retrospective Studies Imaging, Three-Dimensional
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The role of MRI in prostate cancer: current and future directions.

Magma (New York, N.Y.) Mar 16, 2022
There has been an increasing role of magnetic resonance imaging (MRI) in the management of prostate cancer. MRI already plays an essential role in the detection and staging, with the introduction of functional MRI sequences. Recent advancements in ra...
Male Magnetic Resonance Imaging Biopsy Positron-Emission Tomography Prostatic Neoplasms Humans Artificial Intelligence
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Fuzzy C-Means Algorithm-Based ARM-Linux-Embedded System Combined with Magnetic Resonance Imaging for Progression Prediction of Brain Tumors.

Computational and mathematical methods in medicine Mar 15, 2022
The aim of this research was to analyze the application of fuzzy C-means (FCM) algorithm-based ARM-Linux-embedded system in magnetic resonance imaging (MRI) images for prediction of brain tumors. The optimized FCM (OFCM) algorithm was proposed based ...
Brain Neoplasms Algorithms Magnetic Resonance Imaging Humans Brain Fuzzy Logic
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Deep learning based diagnosis of Parkinson's Disease using diffusion magnetic resonance imaging.

Brain imaging and behavior Mar 14, 2022
The diagnostic performance of a combined architecture on Parkinson's disease using diffusion tensor imaging was evaluated. A convolutional neural network was trained from multiple parcellated brain regions. A greedy algorithm was proposed to combine ...
Diffusion Tensor Imaging Aged Diffusion Magnetic Resonance Imaging Middle Aged Humans Magnetic Resonance Imaging Retrospective Studies Deep Learning Parkinson Disease
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Radiomic and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to Detect Breast Malignant Lesions.

Current oncology (Toronto, Ont.) Mar 13, 2022
:The purpose of this study was to discriminate between benign and malignant breast lesions through several classifiers using, as predictors, radiomic metrics extracted from CEM and DCE-MRI images. In order to optimize the analysis, balancing and feat...
Humans Retrospective Studies Contrast Media Artificial Intelligence Benchmarking Magnetic Resonance Imaging Mammography
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Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification.

Medical image analysis Mar 12, 2022
Morphological abnormalities of the femoroacetabular (hip) joint are among the most common human musculoskeletal disorders and often develop asymptomatically at early easily treatable stages. In this paper, we propose an automated framework for landma...
Hip Joint Learning Magnetic Resonance Imaging Humans Neural Networks, Computer
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A deep learning tool without muscle-by-muscle grading to differentiate myositis from facio-scapulo-humeral dystrophy using MRI.

Diagnostic and interventional imaging Mar 12, 2022
PURPOSE: The purpose of this study was to assess the capabilities of a deep learning (DL) tool to discriminate between type 1 facioscapulo-humeral dystrophy (FSHD1) and myositis using whole-body muscle magnetic resonance imaging (MRI) examination wit...
Aged Young Adult Adult Humans Female Deep Learning Magnetic Resonance Imaging Muscle, Skeletal Male Middle Aged Myositis Muscular Dystrophy, Facioscapulohumeral
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Imaging fetal anatomy.

Seminars in cell & developmental biology Mar 10, 2022
Due to advancements in ultrasound techniques, the focus of antenatal ultrasound screening is moving towards the first trimester of pregnancy. The early first trimester however remains in part, a 'black box', due to the size of the developing embryo a...
Humans Artificial Intelligence Pregnancy Magnetic Resonance Imaging Fetus Prenatal Diagnosis Female Infant, Newborn
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