Image Processing, Computer-Assisted

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[[MRI] 2. Recent Research on MR Image Reconstruction Using Artificial Intelligence].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2023
Image Processing, Computer-Assisted Artificial Intelligence Magnetic Resonance Imaging
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Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2023
BACKGROUND: Accurate extraction of coronary arteries from invasive coronary angiography (ICA) images is essential for the diagnosis and risk stratification of coronary artery disease (CAD).
Humans Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Angiography Coronary Vessels
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Dual-domain fusion deep convolutional neural network for low-dose CT denoising.

Journal of X-ray science and technology Jan 1, 2023
BACKGROUND: In view of the underlying health risks posed by X-ray radiation, the main goal of the present research is to achieve high-quality CT images at the same time as reducing x-ray radiation. In recent years, convolutional neural network (CNN) ...
Image Processing, Computer-Assisted Tomography, X-Ray Computed Signal-To-Noise Ratio Swine Algorithms Animals Neural Networks, Computer
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Deep convolutional neural network based hyperspectral brain tissue classification.

Journal of X-ray science and technology Jan 1, 2023
BACKGROUND: Hyperspectral brain tissue imaging has been recently utilized in medical research aiming to study brain science and obtain various biological phenomena of the different tissue types. However, processing high-dimensional data of hyperspect...
Neural Networks, Computer Humans Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging Support Vector Machine
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Artificial intelligence in Nuclear Medicine Physics and Imaging.

Hellenic journal of nuclear medicine Jan 1, 2023
No one can deny the significant impact of artificial intelligence (AI) on everyday life, especially in the health sector where it has emerged as a crucial and beneficial tool in Nuclear Medicine (NM) and molecular imaging. The objective of this revie...
Image Processing, Computer-Assisted Artificial Intelligence Nuclear Medicine Physics Positron-Emission Tomography Humans
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FNSAM: Image super-resolution using a feedback network with self-attention mechanism.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2023
BACKGROUND: High-resolution (HR) magnetic resonance imaging (MRI) provides rich pathological information which is of great significance in diagnosis and treatment of brain lesions. However, obtaining HR brain MRI images comes at the cost of extending...
Signal-To-Noise Ratio Magnetic Resonance Imaging Brain Image Processing, Computer-Assisted Feedback Humans Neural Networks, Computer
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[Investigation of clinical target volume segmentation for whole breast irradiation using three-dimensional convolutional neural networks with gradient-weighted class activation mapping].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics Jan 1, 2023
Neural Networks, Computer Magnetic Resonance Imaging Image Processing, Computer-Assisted Algorithms
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[Effects of sample size and data augmentation on U-Net-based automatic segmentation of various organs].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics Jan 1, 2023
Neural Networks, Computer Sample Size Image Processing, Computer-Assisted
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CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 1, 2023
Recently, deep convolution neural networks (CNNs) steered face super-resolution methods have achieved great progress in restoring degraded facial details by joint training with facial priors. However, these methods have some obvious limitations. On t...
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Learning Software Image Processing, Computer-Assisted Neural Networks, Computer
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Detecting and quantifying spatial misalignment between longitudinal kilovoltage computed tomography (kVCT) scans of the head and neck by using convolutional neural networks (CNNs).

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2023
BACKGROUND: Adaptive radiotherapy (ART) aims to address anatomical modifications appearing during the treatment of patients by modifying the planning treatment according to the daily positioning image. Clinical implementation of ART relies on the qua...
Algorithms Tomography, X-Ray Computed Neural Networks, Computer Radiotherapy Planning, Computer-Assisted Head Image Processing, Computer-Assisted Deep Learning Humans
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