Background and objective Chronic hepatitis B (CHB) is one of the most common liver
diseases in the world, which threats a lot to people's usual life. The increased deposition of …

The assessment of liver fibrosis is usually required in the diagnostic and treatment
procedures for chronic liver disease. In this paper, we propose a deep convolutional neural …

The accurate diagnosis of significant liver fibrosis (F2) in patients with chronic liver disease
(CLD) is critical, as F2 is a crucial factor that should be considered in selecting an antiviral …

Abstract Background & Aims The evaluation of the stage of liver fibrosis is essential in
patients with chronic liver disease. However, due to the low quality of ultrasound images, the …

Diagnostic ultrasound offers great improvements in diagnostic accuracy and robustness.
However, it is difficult to make subjective and uniform diagnoses, because the quality of …

Accurate analysis of the fibrosis stage plays very important roles in follow-up of patients with
chronic hepatitis B infection. In this paper, a deep learning framework is presented for …

Liver fibrosis is a common liver disease that seriously endangers human health. Liver biopsy
is the gold standard for diagnosing liver fibrosis, but its clinical use is limited due to its …

With the advances in deep learning, including Convolutional Neural Networks (CNN),
automated diagnosis technology using medical images has received considerable attention …

Background Chronic liver disease is an important cause of liver failure and death worldwide,
and liver fibrosis is a common pathological process of most chronic liver diseases. There still …

Objective To develop and investigate a deep learning model with data integration of
ultrasound contrast-enhanced micro-flow (CEMF) cines, B-mode images, and patients' …