X-ray image analysis for automated knee osteoarthritis detection
Knee issues are very frequent among people of all ages, and osteoarthritis is one of the
most common reasons behind them. The primary feature in observing extremity and …
most common reasons behind them. The primary feature in observing extremity and …
Adaptive switching weight mean filter for salt and pepper image denoising
Abstract We propose Adaptive Switching Weight Mean Filter (ASWMF) to remove the salt
and pepper noise. Instead of using median or mean, ASWMF assigns value of a switching …
and pepper noise. Instead of using median or mean, ASWMF assigns value of a switching …
A convex geodesic selective model for image segmentation
Selective segmentation is an important application of image processing. In contrast to global
segmentation in which all objects are segmented, selective segmentation is used to isolate …
segmentation in which all objects are segmented, selective segmentation is used to isolate …
Novel methods for microglia segmentation, feature extraction, and classification
Segmentation and analysis of histological images provides a valuable tool to gain insight
into the biology and function of microglial cells in health and disease. Common image …
into the biology and function of microglial cells in health and disease. Common image …
A reformulated convex and selective variational image segmentation model and its fast multilevel algorithm
Selective image segmentation is the task of extracting one object of interest among many
others in an image based on minimal user input. Two-phase segmentation models cannot …
others in an image based on minimal user input. Two-phase segmentation models cannot …
Images denoising for COVID-19 chest X-ray based on multi-scale parallel convolutional neural network
Chest X-ray (CXR) is a prominent and cost-effective medical imaging tool used in healthcare
sectors. Coronavirus (COVID-19) has recently proliferated around the world, and different …
sectors. Coronavirus (COVID-19) has recently proliferated around the world, and different …
Chest X-ray image denoising using Nesterov optimization method with total variation regularization
We propose a chest X-Ray image denoising method based on Total variation regularization
with implementation on the Nesterov optimization method. The denoising problem is …
with implementation on the Nesterov optimization method. The denoising problem is …
Introducing diffusion tensor to high order variational model for image reconstruction
Second order total variation (SOTV) models have advantages for image reconstruction over
their first order counterparts including their ability to remove the staircase artefact in the …
their first order counterparts including their ability to remove the staircase artefact in the …
Medical images denoising method based on total variation regularization and anscombe transform
DNH Thanh - 2019 19th International Symposium on …, 2019 - ieeexplore.ieee.org
Medical Images Denoising Method Based on Total Variation Regularization and Anscombe
Transform Page 1 Medical Images Denoising Method Based on Total Variation Regularization …
Transform Page 1 Medical Images Denoising Method Based on Total Variation Regularization …
Image inpainting technique based on smart terminal: A case study in CPS ancient image data
Y Weng, H Zhou, J Wan - IEEE Access, 2019 - ieeexplore.ieee.org
Cyber-physical system (CPS) can intelligently feel the interactive information between data
and terminal. The combination of CPS data and intelligent terminal can make terminal …
and terminal. The combination of CPS data and intelligent terminal can make terminal …