Clinical Value of Machine Learning-Based Ultrasomics in Preoperative Differentiation Between Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma: A Multicenter Study

ObjectiveThis study aims to explore the clinical value of machine learning-based ultrasomics in the preoperative noninvasive differentiation between hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC).MethodsThe clinical data and ultrasonic images of 226 patients from three hosp...

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Autores principales:	Shanshan Ren, Qian Li, Shunhua Liu, Qinghua Qi, Shaobo Duan, Bing Mao, Xin Li, Yuejin Wu, Lianzhong Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	hepatocellular carcinoma intrahepatic cholangiocarcinoma machine learning radiomics ultrasonography Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/37bb448346bb48ef81d482008a0a6929
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Clinical Value of Machine Learning-Based Ultrasomics in Preoperative Differentiation Between Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma: A Multicenter Study

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