The ultrasound imaging is one of the most common schemes to detect diseases in the
clinical practice. There are many advantages of ultrasound imaging such as safety …

The computer-based approach is required for the non-invasive detection of chronic liver
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …

Deep learning networks have recently been shown to outperform other segmentation
methods on various public, medical-image challenge datasets, particularly on metrics …

Epilepsy is a common neurological condition which affects the central nerve system that
causes people to have a seizure and can be assessed by electroencephalogram (EEG). A …

In this paper, we propose myocardial infarction (MI) detection using 12-lead ECG data and
analysis of each lead with the help of composite lead. This composite lead is used to detect …

Medical image analysis plays a pivotal role in the evaluation of diseases, including
screening, surveillance, diagnosis, and prognosis. Liver is one of the major organs …

Background This study aims to establish a radiomics analysis system for the diagnosis and
clinical behaviour prediction of hepatocellular carcinoma (HCC) based on multi-parametric …

Background Many techniques are proposed for the quantification of tumor heterogeneity as
an imaging biomarker for differentiation between tumor types, tumor grading, response …

This paper proposes a computer-aided cirrhosis diagnosis system to diagnose cirrhosis
based on ultrasound images. We first propose a method to extract a liver capsule on an …

Classification of liver masses plays an important role in early diagnosis of patients. This
paper proposes a method to reduce the liver computed tomography (CT) images …