US-Based Deep Learning Model for Differentiating Hepatocellular Carcinoma (HCC) From Other Malignancy in Cirrhotic Patients

US-Based Deep Learning Model for Differentiating Hepatocellular Carcinoma (HCC) From Other Malignancy in Cirrhotic Patients

The aim was to build a predictive model based on ultrasonography (US)-based deep learning model (US-DLM) and clinical features (Clin) for differentiating hepatocellular carcinoma (HCC) from other malignancy (OM) in cirrhotic patients. 112 patients with 120 HCCs and 60 patients with 61 OMs were inclu...

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Bibliographic Details
Main Authors: Hang Zhou, Tao Jiang, Qunying Li, Chao Zhang, Cong Zhang, Yajing Liu, Jing Cao, Yu Sun, Peile Jin, Jiali Luo, Minqiang Pan, Pintong Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Oncology
Subjects:
hepatocellular carcinoma
cirrhosis
deep learning—artificial neural network
ultrasonography
contrast enhanced magnetic resonance imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.672055/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.672055/full

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