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[HTML][HTML] Survey of using GPU CUDA programming model in medical image analysis
With the technology development of medical industry, processing data is expanding rapidly
and computation time also increases due to many factors like 3D, 4D treatment planning, the …
and computation time also increases due to many factors like 3D, 4D treatment planning, the …
An overview of state‐of‐the‐art image restoration in electron microscopy
Summary In Life Science research, electron microscopy (EM) is an essential tool for
morphological analysis at the subcellular level as it allows for visualization at nanometer …
morphological analysis at the subcellular level as it allows for visualization at nanometer …
The HFB face database for heterogeneous face biometrics research
A face database, composed of visual (VIS), near infrared (NIR) and three-dimensional (3D)
face images, is collected. Called the HFB Face Database, it is released now to promote …
face images, is collected. Called the HFB Face Database, it is released now to promote …
Fully-channel regional attention network for disease-location recognition with tongue images
Objective Using the deep learning model to realize tongue image-based disease location
recognition and focus on solving two problems: 1. The ability of the general convolution …
recognition and focus on solving two problems: 1. The ability of the general convolution …
Designing an efficient parallel spectral clustering algorithm on multi-core processors in Julia
Spectral clustering is widely used in data mining, machine learning and other fields. It can
identify the arbitrary shape of a sample space and converge to the global optimal solution …
identify the arbitrary shape of a sample space and converge to the global optimal solution …
Improving GPU-accelerated adaptive IDW interpolation algorithm using fast kNN search
This paper presents an efficient parallel Adaptive Inverse Distance Weighting (AIDW)
interpolation algorithm on modern Graphics Processing Unit (GPU). The presented …
interpolation algorithm on modern Graphics Processing Unit (GPU). The presented …
A parallel algorithm of image mean filtering based on OpenCL
H **ao, B Guo, H Zhang, C Li - IEEE Access, 2021 - ieeexplore.ieee.org
The image will be contaminated by noise during the imaging process, which severely
degrades the image quality. It is necessary to filter the collected image. With the increasing …
degrades the image quality. It is necessary to filter the collected image. With the increasing …
A two‐step optimization approach for nonlocal total variation‐based Rician noise reduction in magnetic resonance images
Purpose: Magnetic resonance imaging (MRI) often suffers from apparent noise during image
acquisition and transmission. The degraded data can easily result in nonrobust …
acquisition and transmission. The degraded data can easily result in nonrobust …
Compressive hyperspectral imaging recovery by spatial-spectral non-local means regularization
Hyperspectral imaging systems can benefit from compressed sensing to reduce data
acquisition demands. We present a new reconstruction algorithm to recover the …
acquisition demands. We present a new reconstruction algorithm to recover the …
Performance evaluation of GPU-accelerated spatial interpolation using radial basis functions for building explicit surfaces
This paper focuses on evaluating the computational performance of parallel spatial
interpolation with Radial Basis Functions (RBFs) that is developed by utilizing modern …
interpolation with Radial Basis Functions (RBFs) that is developed by utilizing modern …