Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm
Abstract Background and Objective Fatty Liver Disease (FLD)-a disease caused by
deposition of fat in liver cells, is predecessor to terminal diseases such as liver cancer. The …
deposition of fat in liver cells, is predecessor to terminal diseases such as liver cancer. The …
Extreme learning machine framework for risk stratification of fatty liver disease using ultrasound tissue characterization
Abstract Fatty Liver Disease (FLD) is caused by the deposition of fat in liver cells and leads
to deadly diseases such as liver cancer. Several FLD detection and characterization …
to deadly diseases such as liver cancer. Several FLD detection and characterization …
Automated stratification of liver disease in ultrasound: an online accurate feature classification paradigm
Purpose Fatty liver disease (FLD) is one of the most common diseases in liver. Early
detection can improve the prognosis considerably. Using ultrasound for FLD detection is …
detection can improve the prognosis considerably. Using ultrasound for FLD detection is …
A novel computer-aided diagnosis framework using deep learning for classification of fatty liver disease in ultrasound imaging
DS Reddy, R Bharath… - 2018 IEEE 20th …, 2018 - ieeexplore.ieee.org
Fatty Liver Disease (FLD), if left untreated can progress into fatal chronic diseases (Eg.
fibrosis, cirrhosis, liver cancer, etc.) leading to permanent liver failure. Doctors usually use …
fibrosis, cirrhosis, liver cancer, etc.) leading to permanent liver failure. Doctors usually use …
Liver disease classification from ultrasound using multi-scale CNN
H Che, LG Brown, DJ Foran, JL Nosher… - International Journal of …, 2021 - Springer
Purpose Ultrasound (US) is the preferred modality for fatty liver disease diagnosis due to its
noninvasive, real-time, and cost-effective imaging capabilities. However, traditional B-mode …
noninvasive, real-time, and cost-effective imaging capabilities. However, traditional B-mode …
Ultrasound-based tissue characterization and classification of fatty liver disease: A screening and diagnostic paradigm
Abstract Fatty Liver Disease (FLD) is a progressively prevalent disease that is present in
about 15% of the world population. Normally benign and reversible if detected at an early …
about 15% of the world population. Normally benign and reversible if detected at an early …
Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images
M Byra, G Styczynski, C Szmigielski… - International journal of …, 2018 - Springer
Purpose The nonalcoholic fatty liver disease is the most common liver abnormality. Up to
date, liver biopsy is the reference standard for direct liver steatosis quantification in hepatic …
date, liver biopsy is the reference standard for direct liver steatosis quantification in hepatic …
Automatic classification of fatty liver disease based on supervised learning and genetic algorithm
Fatty liver disease is considered a critical illness that should be diagnosed and detected at
an early stage. In advanced stages, liver cancer or cirrhosis arise, and to identify this …
an early stage. In advanced stages, liver cancer or cirrhosis arise, and to identify this …
Diagnosis of focal liver diseases based on deep learning technique for ultrasound images
In the last three decades, there is considerable interest in computer-aided diagnosis
systems for dealing with different diseases. Recently, these computer-aided diagnosis …
systems for dealing with different diseases. Recently, these computer-aided diagnosis …
Data mining framework for fatty liver disease classification in ultrasound: a hybrid feature extraction paradigm
UR Acharya, SV Sree, R Ribeiro… - Medical …, 2012 - Wiley Online Library
Purpose: Fatty liver disease (FLD) is an increasing prevalent disease that can be reversed if
detected early. Ultrasound is the safest and ubiquitous method for identifying FLD. Since …
detected early. Ultrasound is the safest and ubiquitous method for identifying FLD. Since …