Liver fibrosis is characterized by the accumulation of extracellular matrix proteins such as
collagen in the liver interstitial space. All causes of chronic liver disease may lead to fibrosis …

Hepatic fibrosis is potentially reversible; however early diagnosis is necessary for treatment
in order to halt progression to cirrhosis and development of complications including portal …

The COVID-19 outbreak has been causing a global health crisis since December 2019. Due
to this virus declared by the World Health Organization as a pandemic, the health authorities …

This paper presents a novel, fully automatic approach based on a fully convolutional
network (FCN) for segmenting liver tumors from CT images. Specifically, we designed a …

Purpose To evaluate the utility of texture analysis for the differentiation of renal tumors,
including the various renal cell carcinoma subtypes and oncocytoma. Materials and …

Objectives To propose a transfer learning (TL) radiomics model that efficiently combines the
information from gray scale and elastogram ultrasound images for accurate liver fibrosis …

Objective Accurate differentiation of the histological sub-type of ono-small-cell lung cancer
(NSCLC) at an early stage of diagnosis is crucial in choosing appropriate treatment option …

Liver fibrosis is an important pathological precondition for hepatocellular carcinoma. The
degree of hepatic fibrosis is positively correlated with liver cancer. Liver fibrosis is a series of …

Purpose To determine the ability of texture analyses of contrast-enhanced CT images for
distinguishing between varying degrees of hepatic fibrosis in patients with chronic liver …

Abstract Malignant Focal Liver Lesion (FLL) is a main cause of primary liver cancer. In most
existing Computer-Aided Diagnosis (CAD) systems of FLLs, machine learning and data …