… Radiomics analysis permits accurate prediction of prognosis and effective diverse therapy
evaluation. Several studies were conducted for hepatic resection evaluation, and one study …

… learning-based radiomics enables accurate differentiation of diffuse liver diseases from a
single section of non-contrast abdominal CT. The high accuracy of radiomics coupled with …

… of radiomics and deep learning, the potential applications of these techniques in liver diseases,
… In their study, radiomics fibrosis index showed a high accuracy (area under the receiver …

… They demonstrated that the overall accuracy for the classification of the five main types of
focal liver disease is 0.77. Sensitivity / specificity is 0.80/0.78, 0.93/0.93, 0.84/0.82, 0.73/0.56 …

… biases would impact the accuracy, which should be considered for radiomics model design.
… the best radiomics model for staging liver fibrosis by using elastography images, liver …

… will result in higher accuracy than actuality and thus need further external validation. Future,
with the aid of radiomics, it is possible to recognize benign liver lesions like FNH precisely …

… For many tumors, radiomic analyses have already provided an accurate evaluation of biology,
allowing the identification of indices correlated with clinical outcomes [28,29,30,31]. In LM, …

… in chronic liver disease. This study evaluates the role of radiomics in staging liver fibrosis. …
This meta-analysis found that radiomics exhibits high accuracy in diagnosing and staging …

… from chronic liver diseases, including chronic virus hepatitis, fatty liver … the radiomics analysis
of gadoxetic acid-enhanced MRI could accurately diagnose liver fibrosis with the radiomics …

… In this systematic review, we aimed to evaluate the role of radiomic tools for diagnosis and
… more sophisticated and accurate radiomic based models. Ultimately, radiomic models may …