Transfer learning versus custom CNN architectures in NAFLD biopsy images
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 …
representing a wide range of intrahepatic disorders, varying from steatosis to nonalcoholic …
Deep learning in liver biopsies using convolutional neural networks
Nonalcoholic fatty liver disease (NAFLD) presents a wide range of pathological conditions,
varying from nonalcoholic steatohepatitis (NASH) to cirrhosis and hepatocellular carcinoma …
varying from nonalcoholic steatohepatitis (NASH) to cirrhosis and hepatocellular carcinoma …
Training of deep convolutional neural networks to identify critical liver alterations in histopathology image samples
Nonalcoholic fatty liver disease (NAFLD) is responsible for a wide range of pathological
disorders. It is characterized by the prevalence of steatosis, which results in excessive …
disorders. It is characterized by the prevalence of steatosis, which results in excessive …
Focusing on clinically interpretable features: selective attention regularization for liver biopsy image classification
Liver biopsy image analysis is the gold standard for early diagnosis of non-alcoholic fatty
liver disease (NAFLD) worldwide. Deep neural networks offer an effective tool for image …
liver disease (NAFLD) worldwide. Deep neural networks offer an effective tool for image …
DEST: Deep enhanced swin transformer toward better scoring for NAFLD
Nonalcoholic fatty liver disease (NAFLD) has become one of the most common liver
diseases. Image analysis of liver biopsy is the gold standard for early diagnosis of NAFLD …
diseases. Image analysis of liver biopsy is the gold standard for early diagnosis of NAFLD …
An unsupervised transfer learning model based on convolutional auto encoder for non-alcoholic steatohepatitis activity scoring and fibrosis staging of liver …
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 …
worldwide. Non-alcoholic steatohepatitis (NASH) is a progressive type of NAFLD that may …
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 …
consumption, defines nonalcoholic fatty liver disease (NAFLD). Accurate classification of …
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 …
healthcare challenges and empowering medical professionals with improved diagnostic …
Artificial Intelligence-Based Opportunities in Liver Pathology—A Systematic Review
P Allaume, N Rabilloud, B Turlin, E Bardou-Jacquet… - Diagnostics, 2023 - mdpi.com
Background: Artificial Intelligence (AI)-based Deep Neural Networks (DNNs) can handle a
wide range of applications in image analysis, ranging from automated segmentation to …
wide range of applications in image analysis, ranging from automated segmentation to …
Deep learning based NAS Score and fibrosis stage prediction from CT and pathology data
Non-Alcoholic Fatty Liver Disease (NAFLD) is becoming increasingly prevalent in the world
population. Without diagnosis at the right time, NAFLD can lead to non-alcoholic …
population. Without diagnosis at the right time, NAFLD can lead to non-alcoholic …