hepatocellular carcinoma

Precision of MRI radiomics features in the liver and HCC

The aim of this study, consisting of a population of 55 patients who underwent two repeat contrast-enhanced abdominal MRI exams within 1 month, was to assess...

European Radiology

10 months ago

Precision of MRI radiomics features in the liver and HCC

Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC

Of late, deep learning-based algorithms have been successfully applied to various medical imaging modalities, ranging from chest radiographs to head CT scans....

So Yeon Kim

2 years ago

Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC

Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics

The purpose of this single-center retrospective study was to investigate the effectiveness of contrast-enhanced computed tomography (CECT)-based radiomic...

European Radiology

2 years ago

Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics

MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma

Advanced hepatocellular carcinoma (HCC) carries a dismal prognosis. For a decade, sorafenib, a multi-kinase inhibitor, was the only approved systemic therapy...

Stefanie Hectors

2 years ago

MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma

Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound

The aim of this study was to establish and validate an artificial intelligence-based radiomics strategy in order to predict personalized responses to...

European Radiology

3 years ago

Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound

Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules

This article sets out to determine whether machine learning can be used to train and calibrate the signature for diagnosing hepatocellular carcinoma in...

European Radiology

3 years ago

hepatocellular carcinoma

Precision of MRI radiomics features in the liver and HCC

Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC

Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics

MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma

Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound

Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

Latest posts

Precision of MRI radiomics features in the liver and HCC

Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC

Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics

MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma

Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound

Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

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