Radiomics-Based Machine Learning Classification Strategy for Characterization of Hepatocellular Carcinoma on Contrast-Enhanced Ultrasound in High-Risk Patients with LI-RADS Category M Nodules

Objective Accurate differentiation within the LI-RADS category M (LR-M) between hepatocellular carcinoma (HCC) and non-HCC malignancies (mainly intrahepatic cholangiocarcinoma [CCA] and combined hepatocellular and cholangiocarcinoma [cHCC-CCA]) is an area of active investigation. We aimed...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Indian Journal of Radiology and Imaging
المؤلفون الرئيسيون: Lingling Li, Xiaoxin Liang, Yiwen Yu, Rushuang Mao, Jing Han, Chuan Peng, Jianhua Zhou
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Thieme Medical and Scientific Publishers Pvt. Ltd. 2024-07-01
الموضوعات:
contrast-enhanced ultrasound
LI-RADS category M
hepatocellular carcinoma
machine learning
الوصول للمادة أونلاين:http://www.thieme-connect.de/DOI/DOI?10.1055/s-0043-1777993

الانترنت

http://www.thieme-connect.de/DOI/DOI?10.1055/s-0043-1777993

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