Classification of the Stages of Nonalcoholic Steatohepatitis via Federated General Visual Representation Learning

M Nergiz - International Journal of Imaging Systems and …, 2024 - Wiley Online Library
The excess buildup of fat within a patient's liver, even in the absence of any previous alcohol
consumption, defines nonalcoholic fatty liver disease (NAFLD). Accurate classification of …

An unsupervised transfer learning model based on convolutional auto encoder for non-alcoholic steatohepatitis activity scoring and fibrosis staging of liver …

MA Karagoz, B Akay, A Basturk, D Karaboga… - Neural Computing and …, 2023 - Springer
Non-alcoholic fatty liver disease (NAFLD) is one of the most frequent chronic liver diseases
worldwide. Non-alcoholic steatohepatitis (NASH) is a progressive type of NAFLD that may …

Artificial Intelligence in NAFLD Diagnosis

JC Ahn, S Gawrieh - Need-to-Know NAFLD - taylorfrancis.com
This chapter provides an overview of artificial intelligence (AI) and highlights some important
and up-to-date applications of AI in nonalcoholic fatty liver disease (NAFLD). Given the high …

Transfer learning versus custom CNN architectures in NAFLD biopsy images

A Arjmand, V Christou, AT Tzallas… - 2020 43rd …, 2020 - ieeexplore.ieee.org
Nonalcoholic fatty liver disease (NAFLD) is one of the most frequent liver conditions
representing a wide range of intrahepatic disorders, varying from steatosis to nonalcoholic …

Artificial intelligence and deep learning: New tools for histopathological diagnosis of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis

Y Takahashi, E Dungubat, H Kusano… - Computational and …, 2023 - Elsevier
Nonalcoholic fatty liver disease (NAFLD)/nonalcoholic steatohepatitis (NASH) is associated
with metabolic syndrome and is rapidly increasing globally with the increased prevalence of …

Contrastive Learning Embedded Siamese Neural Network for the Assessment of Fatty Liver

K Mohit, A Shukla, R Gupta, PK Singh… - TENCON 2023-2023 …, 2023 - ieeexplore.ieee.org
This paper presents an self-supervised Siamese neural network (SNN) for identification and
classification of fatty liver severity. SNN is used for self-supervision tasks for being …

A Novel and Robust Fatty Liver Recognition Method Based on Hybrid Generative Adversarial Networks on Ultrasound Images

G Paul, G Ramkumar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The liver is the biggest gland in the body and is responsible for a wide variety of processes.
The digestive system breaks down the food and liquids a person consumes so that the body …

Deep Learning Approach for Non-Alcoholic Fatty Liver Recognition

CC Peng, JM Lin - 2023 IEEE 5th Eurasia Conference on …, 2023 - ieeexplore.ieee.org
Non-alcoholic fatty liver disease (NAFLD) is recognized as a burden on healthcare. In this
study, we employed transfer learning with artificial intelligence to fine-tune a model using an …

Improving nonalcoholic fatty liver disease classification performance with latent diffusion models

R Hardy, J Klepich, R Mitchell, S Hall, J Villareal… - Scientific Reports, 2023 - nature.com
Integrating deep learning with clinical expertise holds great potential for addressing
healthcare challenges and empowering medical professionals with improved diagnostic …

A deep learning approach for classifying nonalcoholic steatohepatitis patients from nonalcoholic fatty liver disease patients using electronic medical records

PB Suresha, Y Wang, C Xiao, L Glass, Y Yuan… - Explainable AI in …, 2021 - Springer
Nonalcoholic Steatohepatitis (NASH), an advanced stage of Nonalcoholic Fatty Liver
Disease (NAFLD) causes liver inflammation and can lead to cirrhosis. In this paper, we …