Background Advances in imaging technology have the potential to transform the early
diagnosis and treatment of hepatocellular carcinoma (HCC) through quantitative image …

Semantic segmentation of medical images aims to associate a pixel with a label in a medical
image without human initialization. The success of semantic segmentation algorithms is …

Simple Summary As a primary hepatic tumor, hepatocellular carcinoma (HCC) is the most
prevalent kind. Recent developments in magnetic resonance imaging (MRI) and computed …

Background: Radiomics has emerged as a new approach that can help identify imaging
information associated with tumor pathophysiology. We developed and validated a …

Purpose Microvascular invasion (MVI) is a valuable predictor of survival in hepatocellular
carcinoma (HCC) patients. This study developed predictive models using eXtreme Gradient …

High-dimensional imaging features extracted from diagnostic imaging, called radiomics, are
increasingly reported for diagnosis, prognosis, and response to therapy. Establishing the …

Background The present study constructed and validated the use of contrast‐enhanced
computed tomography (CT)‐based radiomics to preoperatively predict microvascular …

Purpose To predict microsatellite instability (MSI) status of colon cancer on preoperative CT
imaging using radiomic analysis. Methods This retrospective study involved radiomic …

Purpose To evaluate the safety and efficacy of drug-eluting bead transarterial
chemoembolization (DEB-TACE) combined with oxaliplatin plus fluorouracil and leucovorin …

Simple Summary Microvascular invasion (MVI) is regarded as a sign of early metastasis in
liver cancer and can be only diagnosed by a histopathology exam in the resected specimen …