Hepatocytic ballooning in non‐alcoholic steatohepatitis: Dilemmas and future directions
YY Li, TL Zheng, SY Xiao, P Wang, WJ Yang… - Liver …, 2023 - Wiley Online Library
Hepatocytic ballooning is a key histological feature in the diagnosis of non‐alcoholic
steatohepatitis (NASH) and is an essential component of the two most widely used …
steatohepatitis (NASH) and is an essential component of the two most widely used …
[HTML][HTML] A novel data augmentation-based brain tumor detection using convolutional neural network
Brain tumor is a severe cancer and a life-threatening disease. Thus, early detection is crucial
in the process of treatment. Recent progress in the field of deep learning has contributed …
in the process of treatment. Recent progress in the field of deep learning has contributed …
[HTML][HTML] Deep learning-based prediction of molecular cancer biomarkers from tissue slides: A new tool for precision oncology
SH Lee, HJ Jang - Clinical and Molecular Hepatology, 2022 - ncbi.nlm.nih.gov
Molecular tests are necessary to stratify cancer patients for targeted therapy. However, high
cost and technical barriers limit the application of these tests, hindering optimal treatment …
cost and technical barriers limit the application of these tests, hindering optimal treatment …
Breast microscopic cancer segmentation and classification using unique 4‐qubit‐quantum model
J Amin, M Sharif, SL Fernandes… - Microscopy …, 2022 - Wiley Online Library
The visual inspection of histopathological samples is the benchmark for detecting breast
cancer, but a strenuous and complicated process takes a long time of the pathologist …
cancer, but a strenuous and complicated process takes a long time of the pathologist …
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 …
[HTML][HTML] Lactobacillus reuteri MJM60668 Prevent Progression of Non-Alcoholic Fatty Liver Disease through Anti-Adipogenesis and Anti-Inflammatory Pathway
Non-alcoholic fatty liver disease (NALFD) is a disease characterized by liver steatosis. The
liver is a key organ involved in the metabolism of fat, protein, and carbohydrate, enzyme …
liver is a key organ involved in the metabolism of fat, protein, and carbohydrate, enzyme …
A new lightweight convolutional neural network for radiation-induced liver disease classification
Histopathological image analysis is used in the diagnosis of many diseases such as cancer,
brain tumor, fatty liver and congenital heart diseases. In clinical practice, the time-consuming …
brain tumor, fatty liver and congenital heart diseases. In clinical practice, the time-consuming …
Artificial intelligence in hepatology-ready for the primetime
R Kalapala, H Rughwani, DN Reddy - Journal of Clinical and Experimental …, 2023 - Elsevier
Artificial Intelligence (AI) is a mathematical process of computer mediating designing of
algorithms to support human intelligence. AI in hepatology has shown tremendous promise …
algorithms to support human intelligence. AI in hepatology has shown tremendous promise …
Survey of liver pathologists to assess attitudes towards digital pathology and artificial intelligence
Aims A survey of members of the UK Liver Pathology Group (UKLPG) was conducted,
comprising consultant histopathologists from across the UK who report liver specimens and …
comprising consultant histopathologists from across the UK who report liver specimens and …
Image-based oil palm leaves disease detection using convolutional neural network
Over the years, numerous studies have been conducted on the integration of computer
vision and machine learning in plant disease detection. However, these conventional …
vision and machine learning in plant disease detection. However, these conventional …