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 …
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 …
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 …
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 enables pathologist-like scoring of NASH models
F Heinemann, G Birk, B Stierstorfer - Scientific reports, 2019 - nature.com
Non-alcoholic fatty liver disease (NAFLD) and the progressive form of non-alcoholic
steatohepatitis (NASH) are diseases of major importance with a high unmet medical need …
steatohepatitis (NASH) are diseases of major importance with a high unmet medical need …
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 …
Deep learning-based quantification of NAFLD/NASH progression in human liver biopsies
F Heinemann, P Gross, S Zeveleva, HS Qian, J Hill… - Scientific Reports, 2022 - nature.com
Non-alcoholic fatty liver disease (NAFLD) affects about 24% of the world's population.
Progression of early stages of NAFLD can lead to the more advanced form non-alcoholic …
Progression of early stages of NAFLD can lead to the more advanced form non-alcoholic …
Deep Learning Based Steatosis Quantification of Liver Histopathology Images Using Unsupervised Feature Extraction
Steatosis quantification is an essential issue for accurate diagnosis and donor
transplantation. However, manually quantification processes of steatosis by a pathologist …
transplantation. However, manually quantification processes of steatosis by a pathologist …
Liver fibrosis and nas scoring from ct images using self-supervised learning and texture encoding
Non-alcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver
diseases (CLD) which can progress to liver cancer. The severity and treatment of NAFLD is …
diseases (CLD) which can progress to liver cancer. The severity and treatment of NAFLD is …
Training of computational algorithms to predict NAFLD activity score and fibrosis stage from liver histopathology slides
H Qu, CD Minacapelli, C Tait, K Gupta… - Computer Methods and …, 2021 - Elsevier
Background The incidence of non-alcoholic fatty liver disease (NAFLD) and its progressive
form, non-alcoholic steatohepatitis (NASH), has been increasing for decades. Since the …
form, non-alcoholic steatohepatitis (NASH), has been increasing for decades. Since the …