AIMC Topic: Image Interpretation, Computer-Assisted

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Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics.

BMC medical imaging Apr 29, 2024
PURPOSE: To detect the Marchiafava Bignami Disease (MBD) using a distinct deep learning technique.
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Sensitivity and Specificity Marchiafava-Bignami Disease Male Humans Middle Aged Deep Learning Female Adult
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Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort.

The international journal of cardiovascular imaging Apr 28, 2024
The quantification of carotid plaque has been routinely used to predict cardiovascular risk in cardiovascular disease (CVD) and coronary artery disease (CAD). To determine how well carotid plaque features predict the likelihood of CAD and cardiovascu...
Coronary Angiography Coronary Artery Disease Prognosis Heart Disease Risk Factors Female Image Interpretation, Computer-Assisted Risk Factors Aged Carotid Intima-Media Thickness Carotid Arteries Humans Plaque, Atherosclerotic Decision Support Techniques Deep Learning Carotid Artery Diseases Time Factors Male Canada Middle Aged Predictive Value of Tests Risk Assessment
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Multiclassification of Hepatic Cystic Echinococcosis by Using Multiple Kernel Learning Framework and Ultrasound Images.

Ultrasound in medicine & biology Apr 27, 2024
UNLABELLED: To properly treat and care for hepatic cystic echinococcosis (HCE), it is essential to make an accurate diagnosis before treatment.
Middle Aged Ultrasonography Support Vector Machine Liver Image Interpretation, Computer-Assisted Aged Humans Echinococcosis, Hepatic Adult Male Machine Learning Algorithms Female Reproducibility of Results
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A lightweight hybrid model for the automatic recognition of uterine fibroid ultrasound images based on deep learning.

Journal of clinical ultrasound : JCU Apr 27, 2024
PURPOSE: Uterine fibroids (UF) are the most frequent tumors in ladies and can pose an enormous threat to complications, such as miscarriage. The accuracy of prognosis may also be affected by way of doctor inexperience and fatigue, underscoring the wa...
Uterus Humans Uterine Neoplasms Female Image Interpretation, Computer-Assisted Deep Learning Leiomyoma Ultrasonography
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Super-resolution Deep Learning Reconstruction Cervical Spine 1.5T MRI: Improved Interobserver Agreement in Evaluations of Neuroforaminal Stenosis Compared to Conventional Deep Learning Reconstruction.

Journal of imaging informatics in medicine Apr 26, 2024
The aim of this study was to investigate whether super-resolution deep learning reconstruction (SR-DLR) is superior to conventional deep learning reconstruction (DLR) with respect to interobserver agreement in the evaluation of neuroforaminal stenosi...
Signal-To-Noise Ratio Cervical Vertebrae Humans Spinal Stenosis Retrospective Studies Deep Learning Image Interpretation, Computer-Assisted Female Image Processing, Computer-Assisted Observer Variation Aged Magnetic Resonance Imaging Aged, 80 and over Adult Male Middle Aged
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UViT-Seg: An Efficient ViT and U-Net-Based Framework for Accurate Colorectal Polyp Segmentation in Colonoscopy and WCE Images.

Journal of imaging informatics in medicine Apr 26, 2024
Colorectal cancer (CRC) stands out as one of the most prevalent global cancers. The accurate localization of colorectal polyps in endoscopy images is pivotal for timely detection and removal, contributing significantly to CRC prevention. The manual a...
Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Colorectal Neoplasms Colonoscopy Image Processing, Computer-Assisted Colonic Polyps
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Automated Detection and Grading of Extraprostatic Extension of Prostate Cancer at MRI via Cascaded Deep Learning and Random Forest Classification.

Academic radiology Apr 25, 2024
RATIONALE AND OBJECTIVES: Extraprostatic extension (EPE) is well established as a significant predictor of prostate cancer aggression and recurrence. Accurate EPE assessment prior to radical prostatectomy can impact surgical approach. We aimed to uti...
Sensitivity and Specificity Male Middle Aged Deep Learning Humans Prospective Studies Aged Image Interpretation, Computer-Assisted Prostatectomy Magnetic Resonance Imaging Prostatic Neoplasms Neoplasm Grading Random Forest
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Deep learning-accelerated T2WI: image quality, efficiency, and staging performance against BLADE T2WI for gastric cancer.

Abdominal radiology (New York) Apr 25, 2024
PURPOSE: The purpose of our study is to investigate image quality, efficiency, and diagnostic performance of a deep learning-accelerated single-shot breath-hold (DLSB) against BLADE for T-weighted MR imaging (TWI) for gastric cancer (GC).
Humans Prospective Studies Middle Aged Deep Learning Magnetic Resonance Imaging Neoplasm Staging Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Breath Holding Female Reproducibility of Results Aged Aged, 80 and over Adult Stomach Neoplasms Male
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Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study.

Medical image analysis Apr 25, 2024
Diffusion-weighted magnetic resonance imaging (dMRI) is widely used to assess the brain white matter. Fiber orientation distribution functions (FODs) are a common way of representing the orientation and density of white matter fibers. However, with s...
Humans Image Interpretation, Computer-Assisted Brain Fetus Female White Matter Infant, Newborn Diffusion Magnetic Resonance Imaging Deep Learning Image Processing, Computer-Assisted
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Diabetic retinopathy prediction based on vision transformer and modified capsule network.

Computers in biology and medicine Apr 25, 2024
Diabetic retinopathy is considered one of the most common diseases that can lead to blindness in the working age, and the chance of developing it increases as long as a person suffers from diabetes. Protecting the sight of the patient or decelerating...
Deep Learning Image Interpretation, Computer-Assisted Humans Diabetic Retinopathy Neural Networks, Computer Algorithms Databases, Factual
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