AIMC Topic: Generative Adversarial Networks

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A Multi-Perspective Self-Supervised Generative Adversarial Network for FS to FFPE Stain Transfer.

IEEE transactions on medical imaging Feb 4, 2025
In clinical practice, frozen section (FS) images can be utilized to obtain the immediate pathological results of the patients in operation due to their fast production speed. However, compared with the formalin-fixed and paraffin-embedded (FFPE) imag...
Supervised Machine Learning Frozen Sections Paraffin Embedding Generative Adversarial Networks Humans Image Processing, Computer-Assisted Staining and Labeling
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Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis.

BMC bioinformatics Jan 27, 2025
BACKGROUND: Due to the complexity and cost of preparing histopathological slides, deep learning-based methods have been developed to generate high-quality histological images. However, existing approaches primarily focus on spatial domain information...
Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Generative Adversarial Networks Algorithms
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A machine learning approach to real-time calculation of joint angles during walking and running using self-placed inertial measurement units.

Gait & posture Jan 26, 2025
BACKGROUND: Inter-segment joint angles can be obtained from inertial measurement units (IMUs); however, accurate 3D joint motion measurement, which requires sensor fusion and signal processing, sensor alignment with segments and joint axis calibratio...
Lower Extremity Walking Humans Running Walking Speed Adult Machine Learning Healthy Volunteers Movement Male Female Gait Analysis Generative Adversarial Networks Wearable Electronic Devices Joints
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Research of orthodontic soft tissue profile prediction based on conditional generative adversarial networks.

Journal of dentistry Jan 24, 2025
OBJECTIVE: This study constructed a new conditional generative adversarial network (CGAN) model to predict changes in lateral appearance following orthodontic treatment.
Orthodontics, Corrective Generative Adversarial Networks Anatomic Landmarks Cephalometry Female Face Young Adult Humans Adult Male Deep Learning Neural Networks, Computer
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Dual-domain Wasserstein Generative Adversarial Network with Hybrid Loss for Low-dose CT Imaging.

Physics in medicine and biology Jan 20, 2025
Low-dose computed tomography (LDCT) has gained significant attention in hospitals and clinics as a popular imaging modality for reducing the risk of x-ray radiation. However, reconstructed LDCT images often suffer from undesired noise and artifacts, ...
Humans Radiation Dosage Generative Adversarial Networks Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Generative Adversarial Networks With Radiomics Supervision for Lung Lesion Generation.

IEEE transactions on bio-medical engineering Jan 15, 2025
Data-driven methods for lesion generation are quickly emerging due to the need for realistic imaging targets for image quality assessment and virtual clinical trials. We proposed a generative adversarial network (GAN) architecture for conditional gen...
Humans Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Generative Adversarial Networks Tomography, X-Ray Computed Radiomics Neural Networks, Computer Lung Algorithms Databases, Factual
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Patch-based feature mapping with generative adversarial networks for auxiliary hip fracture detection.

Computers in biology and medicine Jan 10, 2025
BACKGROUND: Hip fractures are a significant public health issue, particularly among the elderly population. Pelvic radiographs (PXRs) play a crucial role in diagnosing hip fractures and are commonly used for their evaluation. Previous research has de...
Hip Fractures Generative Adversarial Networks Aged Male Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Female
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Generative Adversarial Network With Robust Discriminator Through Multi-Task Learning for Low-Dose CT Denoising.

IEEE transactions on medical imaging Jan 2, 2025
Reducing the dose of radiation in computed tomography (CT) is vital to decreasing secondary cancer risk. However, the use of low-dose CT (LDCT) images is accompanied by increased noise that can negatively impact diagnoses. Although numerous deep lear...
Radiation Dosage Signal-To-Noise Ratio Generative Adversarial Networks Tomography, X-Ray Computed Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Brain multi modality image inpainting via deep learning based edge region generative adversarial network.

Technology and health care : official journal of the European Society for Engineering and Medicine Dec 25, 2024
A brain tumor (BT) is considered one of the most crucial and deadly diseases in the world, as it affects the central nervous system and its main functions. Headaches, nausea, and balance problems are caused by tumors pressing on nearby brain tissue a...
Image Processing, Computer-Assisted Brain Humans Magnetic Resonance Imaging Brain Neoplasms Neural Networks, Computer Deep Learning Algorithms Generative Adversarial Networks
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Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion.

European journal of radiology Dec 22, 2024
OBJECTIVE: To assess whether CT style conversion between different CT vendors using a routable generative adversarial network (RouteGAN) could minimize variation in ILD quantification, resulting in improved functional correlation of quantitative CT (...
Humans Lung Diseases, Interstitial Retrospective Studies Respiratory Function Tests Tomography, X-Ray Computed Generative Adversarial Networks Male Deep Learning Female Middle Aged Idiopathic Pulmonary Fibrosis Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Lung Aged
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