Supervised machine learning tools: a tutorial for clinicians
In an increasingly data-driven world, artificial intelligence is expected to be a key tool for
converting big data into tangible benefits and the healthcare domain is no exception to this …
converting big data into tangible benefits and the healthcare domain is no exception to this …
Total variation regularization algorithms for images corrupted with different noise models: a review
P Rodríguez - Journal of Electrical and Computer Engineering, 2013 - Wiley Online Library
Total Variation (TV) regularization has evolved from an image denoising method for images
corrupted with Gaussian noise into a more general technique for inverse problems such as …
corrupted with Gaussian noise into a more general technique for inverse problems such as …
Feature enhancement in medical ultrasound videos using contrast-limited adaptive histogram equalization
P Singh, R Mukundan, R De Ryke - Journal of digital imaging, 2020 - Springer
Speckle noise reduction algorithms are extensively used in the field of ultrasound image
analysis with the aim of improving image quality and diagnostic accuracy. However …
analysis with the aim of improving image quality and diagnostic accuracy. However …
Particle swarm optimized fuzzy CNN with quantitative feature fusion for ultrasound image quality identification
Inherently ultrasound images are susceptible to noise which leads to several image quality
issues. Hence, rating of an image's quality is crucial since diagnosing diseases requires …
issues. Hence, rating of an image's quality is crucial since diagnosing diseases requires …
Despeckle filtering software toolbox for ultrasound imaging of the common carotid artery
Ultrasound imaging of the common carotid artery (CCA) is a non-invasive tool used in
medicine to assess the severity of atherosclerosis and monitor its progression through time …
medicine to assess the severity of atherosclerosis and monitor its progression through time …
Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis
Noise corrupts ultrasound images and degrades spatial and contrast resolutions. Hence, it is
challenging to characterize the lesions precisely using ultrasound images. The present …
challenging to characterize the lesions precisely using ultrasound images. The present …
Segmentation of arterial walls in intravascular ultrasound cross-sectional images using extremal region selection
Intravascular Ultrasound (IVUS) is an intra-operative imaging modality that facilitates
observing and appraising the vessel wall structure of the human coronary arteries …
observing and appraising the vessel wall structure of the human coronary arteries …
Effect of despeckle filtering on classification of breast tumors using ultrasound images
Ultrasound is the most widely used imaging modality for screening of breast tumors.
However, due to the presence of speckle noise in an ultrasound image, the diagnostic …
However, due to the presence of speckle noise in an ultrasound image, the diagnostic …
A review of noninvasive ultrasound image processing methods in the analysis of carotid plaque morphology for the assessment of stroke risk
Noninvasive ultrasound imaging of carotid plaques allows for the development of plaque-
image analysis methods associated with the risk of stroke. This paper presents several …
image analysis methods associated with the risk of stroke. This paper presents several …
An integrated method for atherosclerotic carotid plaque segmentation in ultrasound image
C Qian, X Yang - Computer methods and programs in biomedicine, 2018 - Elsevier
Background and objective Carotid artery atherosclerosis is an important cause of stroke.
Ultrasound imaging has been widely used in the diagnosis of atherosclerosis. Therefore …
Ultrasound imaging has been widely used in the diagnosis of atherosclerosis. Therefore …