Background This study was performed to prospectively develop and validate a radiomics
nomogram for predicting postoperative early recurrence (≤ 1 year) of hepatocellular …

Radiomics is a medical imaging technique that aims at extracting a large amount of features
from one or several modalities of medical images, in order to help diagnose and treat …

This study investigates the potential of eye-tracking technology and the Segment Anything
Model (SAM) to design a collaborative human-computer interaction system that automates …

Objectives: To establish a radiomic algorithm based on grayscale ultrasound images and to
make preoperative predictions of microvascular invasion (MVI) in hepatocellular carcinoma …

Medical imaging diagnosis is mostly subjective, as it depends on medical experts. Hence,
the service provided is limited by expert opinion variations and image complexity as well …

Background The prognosis of hepatocellular carcinoma (HCC) is difficult to predict and
carries high mortality. This study utilized radiomic techniques with clinical examinations to …

Objectives. The postoperative early recurrence (ER) rate of hepatocellular carcinoma (HCC)
is 50%, and no highly reliable predictive tool has been developed yet. The aim of this study …

Background This study aimed to evaluate the efficiency of gadoxetic acid-enhanced MRI-
based radiomics features for prediction of overall survival (OS) in hepatocellular carcinoma …

Simple Summary In this study, a computed tomography (CT)-based radiomics model was
developed to improve predictions of survival and recurrence in patients with upper tract …

Objective This study assessed whether radiomics features could stratify parotid gland
tumours accurately based on only noncontrast CT images and validated the best classifier of …