Liver cirrhosis is the diffuse and advanced phase of liver disease. Several morphological
methods are used for imaging modalities. But, these modalities are biased and lack in …

Accurate categorization of cirrhosis liver image in ultrasound modality is of great importance
in medical diagnosis and treatment. Health informatics is important as it provides quick …

Background and Aim: deep learning has not been successfully implemented in liver tumour
feature extraction and classification using computer-aided diagnosis. This study aims to …

Various prediction approaches regarding liver diseases have been developed. Still, they are
expensive and more complex. Thus the work aims to design an effective method for …

Purpose High mortality rate due to liver cirrhosis has been reported over the globe in the
previous years. Early detection of cirrhosis may help in controlling the disease progression …

Hepatitis C is an ailment that causes inflammation of the liver and leads to serious liver
damage. In previous research, the accuracy of the model wasn't that accurate but the …

The term “Liver disease” refers to a broad category of disorders affecting the liver. There are
a variety of common liver ailments, such as hepatitis, cirrhosis, and liver cancer. Accurate …

One of the crucial problems in medical field is liver cancer, which creates a huge impact on
the mortality rate. Though, existing histopathological diagnostic approaches pose more …

The much more prevalent reason for chronic liver illness in the United States is a condition
known as nonalcoholic fatty liver disease (NAFLD). This condition affects thirty percent of …

Deep learning has become a thriving force in the computer aided diagnosis of liver cancer,
as it solves extremely complicated challenges with high accuracy over time and facilitates …