AIMC Topic: Image Processing, Computer-Assisted

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Impact of [F]FDG PET/CT Radiomics and Artificial Intelligence in Clinical Decision Making in Lung Cancer: Its Current Role.

Seminars in nuclear medicine Mar 5, 2025
Lung cancer remains one of the most prevalent cancers globally and the leading cause of cancer-related deaths, accounting for nearly one-fifth of all cancer fatalities. Fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography ([F]FDG...
Lung Neoplasms Humans Positron Emission Tomography Computed Tomography Artificial Intelligence Fluorodeoxyglucose F18 Clinical Decision-Making Radiomics Image Processing, Computer-Assisted
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Efficient Brain Tumor Detection and Segmentation Using DN-MRCNN With Enhanced Imaging Technique.

Microscopy research and technique Mar 4, 2025
This article proposes a method called DenseNet 121-Mask R-CNN (DN-MRCNN) for the detection and segmentation of brain tumors. The main objective is to reduce the execution time and accurately locate and segment the tumor, including its subareas. The i...
Brain Humans Neural Networks, Computer Brain Neoplasms Algorithms Image Processing, Computer-Assisted
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AD-VAE: Adversarial Disentangling Variational Autoencoder.

Sensors (Basel, Switzerland) Mar 4, 2025
Face recognition (FR) is a less intrusive biometrics technology with various applications, such as security, surveillance, and access control systems. FR remains challenging, especially when there is only a single image per person as a gallery datase...
Automated Facial Recognition Algorithms Humans Biometric Identification Face Deep Learning Neural Networks, Computer Autoencoder Image Processing, Computer-Assisted
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Skeleton Reconstruction Using Generative Adversarial Networks for Human Activity Recognition Under Occlusion.

Sensors (Basel, Switzerland) Mar 4, 2025
Recognizing human activities from motion data is a complex task in computer vision, involving the recognition of human behaviors from sequences of 3D motion data. These activities encompass successive body part movements, interactions with objects, o...
Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Neural Networks, Computer Pattern Recognition, Automated Algorithms Human Activities Skeleton Generative Adversarial Networks
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Development of model for identifying homologous recombination deficiency (HRD) status of ovarian cancer with deep learning on whole slide images.

Journal of translational medicine Mar 4, 2025
BACKGROUND: Homologous recombination deficiency (HRD) refers to the dysfunction of homologous recombination repair (HRR) at the cellular level. The assessment of HRD status has the important significance for the formulation of treatment plans, effica...
Homologous Recombination Female Middle Aged Deep Learning ROC Curve Humans Image Processing, Computer-Assisted Ovarian Neoplasms
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Deep learning-assisted identification and localization of ductal carcinoma from bulk tissue in-silico models generated through polarized Monte Carlo simulations.

Biomedical physics & engineering express Mar 4, 2025
Despite significant progress in diagnosis and treatment, breast cancer remains a formidable health challenge, emphasizing the continuous need for research. This simulation study uses polarized Monte Carlo approach to identify and locate breast cancer...
Image Processing, Computer-Assisted Carcinoma, Ductal, Breast Monte Carlo Method Breast Neoplasms Deep Learning Humans Neural Networks, Computer Algorithms Computer Simulation Female
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Remote sensing of alcohol consumption using machine learning speckle pattern analysis.

Journal of biomedical optics Mar 4, 2025
SIGNIFICANCE: Alcohol consumption monitoring is essential for forensic and healthcare applications. While breath and blood alcohol concentration sensors are currently the most common methods, there is a growing need for faster, non-invasive, and more...
Humans Machine Learning Algorithms Female Young Adult Adult Remote Sensing Technology Male Alcohol Drinking Image Processing, Computer-Assisted
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Deep learning based image enhancement for dynamic non-Cartesian MRI: Application to "silent" fMRI.

Computers in biology and medicine Mar 3, 2025
Radial based non-Cartesian sequences may be used for silent functional MRI examinations particularly in settings where scanner noise could pose issues. However, to achieve reasonable temporal resolution, under-sampled 3D radial k-space commonly resul...
Magnetic Resonance Imaging Image Enhancement Connectome Brain Deep Learning Image Processing, Computer-Assisted Humans
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Feasibility exploration of myocardial blood flow synthesis from a simulated static myocardial computed tomography perfusion via a deep neural network.

Journal of X-ray science and technology Mar 3, 2025
BACKGROUND:  Myocardial blood flow (MBF) provides important diagnostic information for myocardial ischemia. However, dynamic computed tomography perfusion (CTP) needed for MBF involves multiple exposures, leading to high radiation doses.
Male Middle Aged Image Processing, Computer-Assisted Female Aged Coronary Circulation Myocardial Perfusion Imaging Coronary Artery Disease Feasibility Studies Myocardial Ischemia Humans Neural Networks, Computer Tomography, X-Ray Computed
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KBA-PDNet: A primal-dual unrolling network with kernel basis attention for low-dose CT reconstruction.

Journal of X-ray science and technology Mar 3, 2025
Computed tomography (CT) image reconstruction is faced with challenge of balancing image quality and radiation dose. Recent unrolled optimization methods address low-dose CT image quality issues using convolutional neural networks or self-attention m...
Humans Phantoms, Imaging Tomography, X-Ray Computed Neural Networks, Computer Image Processing, Computer-Assisted Radiation Dosage Algorithms
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