[HTML][HTML] Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: A narrative review for stroke application
Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality in the
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …
Texture analysis and its applications in biomedical imaging: A survey
MK Ghalati, A Nunes, H Ferreira… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Texture analysis describes a variety of image analysis techniques that quantify the variation
in intensity and pattern. This paper provides an overview of several texture analysis …
in intensity and pattern. This paper provides an overview of several texture analysis …
[图书][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance
PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images
Unlike daily routine images, ultrasound images are usually monochrome and low-resolution.
In ultrasound images, the cancer regions are usually blurred, vague margin and irregular in …
In ultrasound images, the cancer regions are usually blurred, vague margin and irregular in …
Ten fast transfer learning models for carotid ultrasound plaque tissue characterization in augmentation framework embedded with heatmaps for stroke risk stratification
Background and Purpose: Only 1–2% of the internal carotid artery asymptomatic plaques
are unstable as a result of> 80% stenosis. Thus, unnecessary efforts can be saved if these …
are unstable as a result of> 80% stenosis. Thus, unnecessary efforts can be saved if these …
SVM-based characterization of liver ultrasound images using wavelet packet texture descriptors
A system to characterize normal liver, cirrhotic liver and hepatocellular carcinoma (HCC)
evolved on cirrhotic liver is proposed in this paper. The study is performed with 56 real …
evolved on cirrhotic liver is proposed in this paper. The study is performed with 56 real …
Rheumatoid arthritis: atherosclerosis imaging and cardiovascular risk assessment using machine and deep learning–based tissue characterization
Abstract Purpose of the Review Rheumatoid arthritis (RA) is a chronic, autoimmune disease
which may result in a higher risk of cardiovascular (CV) events and stroke. Tissue …
which may result in a higher risk of cardiovascular (CV) events and stroke. Tissue …
Computer-aided diagnosis of ischemic stroke using multi-dimensional image features in carotid color Doppler
CM Lo, PH Hung - Computers in Biology and Medicine, 2022 - Elsevier
Purpose Stroke is one of the leading causes of disability and mortality. Carotid
atherosclerosis is a crucial factor in the occurrence of ischemic stroke. To achieve timely …
atherosclerosis is a crucial factor in the occurrence of ischemic stroke. To achieve timely …
Robust texture analysis using multi-resolution gray-scale invariant features for breast sonographic tumor diagnosis
Computer-aided diagnosis (CAD) systems in gray-scale breast ultrasound images have the
potential to reduce unnecessary biopsy of breast masses. The purpose of our study is to …
potential to reduce unnecessary biopsy of breast masses. The purpose of our study is to …
An automatic computer-aided diagnosis system for liver tumours on computed tomography images
Liver cancer, one of the more common cancer diseases that cause a large number of deaths
every year, can be reduced by early detection and diagnosis. Computer-Aided Diagnosis …
every year, can be reduced by early detection and diagnosis. Computer-Aided Diagnosis …