A DEEP LEARNING MODEL BASED ON SELF-SUPERVISED LEARNING FOR IDENTIFYING SUBTYPES OF PROLIFERATIVE HEPATOCELLULAR CARCINOMA FROM DYNAMIC CONTRAST-ENHANCED MRI

Abstract Objectives This study employs dynamic contrast-enhanced MRI (DCE-MRI) to noninvasively predict the proliferative subtype of hepatocellular carcinoma (HCC).This subtype is marked by high tumor proliferation and aggressive clinical behavior.We developed a deep learning prediction model that employs a dynamic radiomics workflow and self-super

The objective of the study was to explore the barriers or the reasons behind the insufficient use of Web 2.0 technology Changing Table in companies.The empirical research was conducted among managers in companies in Bosnia and Herzegovina during 2015.The results indicate that managers see information technology infrastructure (department size, tech

The study was conducted in five selected districts in Bale zone South East, Ethiopia to evaluate the morphometric difference among indigenous chicken populations.Simple random sampling method was used to select 400 households who owned indigenous chicken population.From these households, a total of 840 adult (more than 6 months of age) indigenous c

Field evidence of visible tsunami impacts in Europe is scarce.This research focused on an analysis of large littoral debris and accompanying geomorphic features and their rela- tionship to a tsunami event at Cabo de Trafalgar, located on the southern Spanish Atlantic coast.Relative dating of weathering features as well as minor bioconstructive form