Artificial intelligence for detecting and quantifying fatty liver in ultrasound images: A systematic review

FM Alshagathrh, MS Househ - Bioengineering, 2022 - mdpi.com
Background: Non-alcoholic Fatty Liver Disease (NAFLD) is growing more prevalent
worldwide. Although non-invasive diagnostic approaches such as conventional …

Computer-aided characterization and diagnosis of diffuse liver diseases based on ultrasound imaging: a review

P Bharti, D Mittal, R Ananthasivan - Ultrasonic Imaging, 2017 - journals.sagepub.com
Diffuse liver diseases, such as hepatitis, fatty liver, and cirrhosis, are becoming a leading
cause of fatality and disability all over the world. Early detection and diagnosis of these …

Artificial neural network application in the diagnosis of disease conditions with liver ultrasound images

K Kalyan, B Jakhia, RD Lele, M Joshi… - Advances in …, 2014 - Wiley Online Library
The preliminary study presented within this paper shows a comparative study of various
texture features extracted from liver ultrasonic images by employing Multilayer Perceptron …

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 …

An information fusion based method for liver classification using texture analysis of ultrasound images

M Singh, S Singh, S Gupta - Information Fusion, 2014 - Elsevier
This paper presents a method for classification of liver ultrasound images based on texture
analysis. The proposed method uses a set of seven texture features having high …

Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images

UR Acharya, H Fujita, S Bhat, U Raghavendra… - Information …, 2016 - Elsevier
Steatosis or fatty liver disease (FLD) is characterized by the abnormal retention of large
vacuoles of neutral fat in the liver cells, either due to alcoholism or metabolic syndrome …

An integrated index for identification of fatty liver disease using radon transform and discrete cosine transform features in ultrasound images

UR Acharya, H Fujita, VK Sudarshan, MRK Mookiah… - Information …, 2016 - Elsevier
Alcoholic and non-alcoholic fatty liver disease is one of the leading causes of chronic liver
diseases and mortality in Western countries and Asia. Ultrasound image assessment is most …

Automated classification of fatty and normal liver ultrasound images based on mutual information feature selection

V Sharma, KC Juglan - Irbm, 2018 - Elsevier
Abstract Background Fatty Liver Disease (FLD) is one of the most critical diseases that
should be detected and cured at the earlier stage in order to decrease the mortality rate. To …

Analysis and inspection techniques for mouse liver injury based on terahertz spectroscopy

P Huang, Y Cao, J Chen, W Ge, D Hou, G Zhang - Optics Express, 2019 - opg.optica.org
At present, researchers are exploring biological tissue detection method using terahertz
techniques. In this paper, techniques to inspect mouse liver injury by using terahertz …

[HTML][HTML] Diagnosis of placenta accreta spectrum using ultrasound texture feature fusion and machine learning

D Young, N Khan, SR Hobson, D Sussman - Computers in Biology and …, 2024 - Elsevier
Introduction Placenta accreta spectrum (PAS) is an obstetric disorder arising from the
abnormal adherence of the placenta to the uterine wall, often leading to life-threatening …