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Accurate classification of focal liver lesions is an important part of liver disease diagnostics. In clinical practice, the lesion type is often determined from the abdominal MR examination, which includes T2-weighted and dynamic contrast enhanced (DCE) MR images. To date, only T2-weighted images are exploited for automatic classification of focal liver lesions. In this study additional MR sequences and risk factors are used for automatic classification to improve the results and to make a step forward to a clinically useful aid for radiologists.
This article was published in the following journal.
Name: PloS one
Assessment of intraoperative quantitative shear wave elastography (SWE) and contrast-enhanced ultrasound (CEUS) for the characterization of focal liver lesions (FLLs) during liver surgery using pos...
To establish automatic liver fibrosis classification models by using traditional machine learning and deep learning methods and preliminaryly evaluate the efficiency. Gray scale ultrasound images and...
The aim of this study was to investigate the usefulness of a personalized, 3-dimensional (3D)-printed, transparent liver model with focal liver lesions (FLLs) for lesion-by-lesion imaging-pathologic m...
Skin lesions are commonly seen in dairy herds and have been associated with animal-, environmental-, and management factors. These lesions are not only a welfare concern, but they also affect profitab...
The purpose of this study was to determine the significance and utility of MRI in evaluation of focal hepatic uptake on FDG PET/CT without a CT correlate in patients with known malignancy. In this re...
Ultrasound (US) as first-line imaging technology in detecting focal liver lesions,also plays a crucial role in evaluating image and guiding ablation which is the main treatment for liver l...
To determine the optimal dose of DMP 115 to image liver lesions and to assess whether contrast can improve the detection of focal liver lesions.
This clinical trial studies ultrasound elastography in diagnosing patients with kidney or liver solid focal lesions. New diagnostic procedures, such as ultrasound elastography, may be a le...
The conventional sonography is frequently used to detect incidental focal liver lesions because of its availability, innocuity and low cost. Nevertheless, sensibility and specificity of co...
This study aims to analyze non-invasive characterization focal liver lesions in patients with liver cirrhosis. The diagnostic accuracy and predictive value of non-invasive methods is studi...
The relating of causes to the effects they produce. Causes are termed necessary when they must always precede an effect and sufficient when they initiate or produce an effect. Any of several factors may be associated with the potential disease causation or outcome, including predisposing factors, enabling factors, precipitating factors, reinforcing factors, and risk factors.
Common occlusive arterial disease which is caused by ATHEROSCLEROSIS. It is characterized by lesions in the innermost layer (ARTERIAL INTIMA) of arteries including the AORTA and its branches to the extremities. Risk factors include smoking, HYPERLIPIDEMIA, and HYPERTENSION.
SUPERVISED MACHINE LEARNING algorithm which learns to assign labels to objects from a set of training examples. Examples are learning to recognize fraudulent credit card activity by examining hundreds or thousands of fraudulent and non-fraudulent credit card activity, or learning to make disease diagnosis or prognosis based on automatic classification of microarray gene expression profiles drawn from hundreds or thousands of samples.
Factors that can cause or prevent the outcome of interest, are not intermediate variables, and are not associated with the factor(s) under investigation. They give rise to situations in which the effects of two processes are not separated, or the contribution of causal factors cannot be separated, or the measure of the effect of exposure or risk is distorted because of its association with other factors influencing the outcome of the study.
The World Health Organization's classification categories of health and health-related domains. The International Classification of Functioning, Disability and Health (ICF) consists of two lists: a list of body functions and structure, and a list of domains of activity and participation. The ICF also includes a list of environmental factors.
Hepatology is the study of liver, gallbladder, biliary tree, and pancreas, and diseases associated with them. This includes viral hepatitis, alcohol damage, cirrhosis and cancer. As modern lifestyles change, with alcoholism and cancer becoming more promi...
Radiology is the branch of medicine that studies imaging of the body; X-ray (basic, angiography, barium swallows), ultrasound, MRI, CT and PET. These imaging techniques can be used to diagnose, but also to treat a range of conditions, by allowing visuali...