Preoperative Evaluation of Hepatocellular Carcinoma Differentiation Using Contrast-Enhanced Ultrasound-Based Deep-Learning Radiomics Model

Overview of attention for article published in Journal of Hepatocellular Carcinoma, February 2023

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Summary X Dimensions citations

So far, Dimensions has found 5 publications that cite this research output.

5

The most recent citing publications are shown below. View all 5 publications that cite this research output on Dimensions.

Deep learning model based on contrast-enhanced ultrasound for predicting vessels encapsulating tumor clusters in hepatocellular carcinoma

Article in European Radiology (July 2024)

Role of peritumoral tissue analysis in predicting characteristics of hepatocellular carcinoma using ultrasound-based radiomics

Article in Scientific Reports (May 2024)

Predicting Ki-67 expression in hepatocellular carcinoma: nomogram based on clinical factors and contrast-enhanced ultrasound radiomics signatures

Article in Abdominal Radiology (March 2024)