AI Medical Compendium Journal:
Journal of imaging informatics in medicine

Showing 41 to 50 of 183 articles

Deep Learning for Automated Classification of Hip Hardware on Radiographs.

Journal of imaging informatics in medicine Sep 12, 2024
PURPOSE: To develop a deep learning model for automated classification of orthopedic hardware on pelvic and hip radiographs, which can be clinically implemented to decrease radiologist workload and improve consistency among radiology reports.
Hip Hip Prosthesis Radiography Humans Hip Joint Neural Networks, Computer Arthroplasty, Replacement, Hip Retrospective Studies Female Male Deep Learning
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Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).

Journal of imaging informatics in medicine Sep 12, 2024
The purpose of this study was to evaluate the impact of probability map threshold on pleural mesothelioma (PM) tumor delineations generated using a convolutional neural network (CNN). One hundred eighty-six CT scans from 48 PM patients were segmented...
Humans Neural Networks, Computer Tomography, X-Ray Computed Female Pleural Neoplasms Probability Tumor Burden Convolutional Neural Networks Radiographic Image Interpretation, Computer-Assisted Mesothelioma Aged Male Middle Aged
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Screening Patient Misidentification Errors Using a Deep Learning Model of Chest Radiography: A Seven Reader Study.

Journal of imaging informatics in medicine Sep 11, 2024
We aimed to evaluate the ability of deep learning (DL) models to identify patients from a paired chest radiograph (CXR) and compare their performance with that of human experts. In this retrospective study, patient identification DL models were devel...
Middle Aged Deep Learning Radiography, Thoracic Adult Diagnostic Errors Male Female Humans Aged Retrospective Studies
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A Novel Network for Low-Dose CT Denoising Based on Dual-Branch Structure and Multi-Scale Residual Attention.

Journal of imaging informatics in medicine Sep 11, 2024
Deep learning-based denoising of low-dose medical CT images has received great attention both from academic researchers and physicians in recent years, and has shown important application value in clinical practice. In this work, a novel two-branch a...
Signal-To-Noise Ratio Humans Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Radiation Dosage
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Sex-Specific Imaging Biomarkers for Parkinson's Disease Diagnosis: A Machine Learning Analysis.

Journal of imaging informatics in medicine Sep 10, 2024
This study aimed to identify sex-specific imaging biomarkers for Parkinson's disease (PD) based on multiple MRI morphological features by using machine learning methods. Participants were categorized into female and male subgroups, and various struct...
Biomarkers Brain Female Humans Machine Learning Magnetic Resonance Imaging Parkinson Disease Sex Factors Aged Male Middle Aged
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PelviNet: A Collaborative Multi-agent Convolutional Network for Enhanced Pelvic Image Registration.

Journal of imaging informatics in medicine Sep 9, 2024
PelviNet introduces a groundbreaking multi-agent convolutional network architecture tailored for enhancing pelvic image registration. This innovative framework leverages shared convolutional layers, enabling synchronized learning among agents and ens...
Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Neural Networks, Computer Pelvis Tomography, X-Ray Computed
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Unsupervised and Self-supervised Learning in Low-Dose Computed Tomography Denoising: Insights from Training Strategies.

Journal of imaging informatics in medicine Sep 4, 2024
In recent years, X-ray low-dose computed tomography (LDCT) has garnered widespread attention due to its significant reduction in the risk of patient radiation exposure. However, LDCT images often contain a substantial amount of noises, adversely affe...
Radiation Dosage Signal-To-Noise Ratio Humans Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Unsupervised Machine Learning Supervised Machine Learning
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Feature-Based vs. Deep-Learning Fusion Methods for the In Vivo Detection of Radiation Dermatitis Using Optical Coherence Tomography, a Feasibility Study.

Journal of imaging informatics in medicine Sep 4, 2024
Acute radiation dermatitis (ARD) is a common and distressing issue for cancer patients undergoing radiation therapy, leading to significant morbidity. Despite available treatments, ARD remains a distressing issue, necessitating further research to im...
Female Tomography, Optical Coherence Feasibility Studies Aged Image Interpretation, Computer-Assisted Adult Male Humans Radiodermatitis Middle Aged Deep Learning
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Improved Automated Quality Control of Skeletal Wrist Radiographs Using Deep Multitask Learning.

Journal of imaging informatics in medicine Aug 26, 2024
Radiographic quality control is an integral component of the radiology workflow. In this study, we developed a convolutional neural network model tailored for automated quality control, specifically designed to detect and classify key attributes of w...
Radiography Humans Neural Networks, Computer Wrist Deep Learning Quality Control
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A 3D Convolutional Neural Network Based on Non-enhanced Brain CT to Identify Patients with Brain Metastases.

Journal of imaging informatics in medicine Aug 26, 2024
Dedicated brain imaging for cancer patients is seldom recommended in the absence of symptoms. There is increasing availability of non-enhanced CT (NE-CT) of the brain, mainly owing to a wider utilization of Positron Emission Tomography-CT (PET-CT) in...
Brain Neoplasms Humans Convolutional Neural Networks Male Neural Networks, Computer Aged Imaging, Three-Dimensional Middle Aged Brain Retrospective Studies Aged, 80 and over Magnetic Resonance Imaging Tomography, X-Ray Computed Adult Female
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