Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study

Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study

Background: The diagnosis performance of B-mode ultrasound (US) for focal liver lesions (FLLs) is relatively limited. We aimed to develop a deep convolutional neural network of US (DCNN-US) for aiding radiologists in classification of malignant from benign FLLs. Materials and methods: This study was...

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Bibliographic Details
Main Authors: Qi Yang, Jingwei Wei, Xiaohan Hao, Dexing Kong, Xiaoling Yu, Tianan Jiang, Junqing Xi, Wenjia Cai, Yanchun Luo, Xiang Jing, Yilin Yang, Zhigang Cheng, Jinyu Wu, Huiping Zhang, Jintang Liao, Pei Zhou, Yu Song, Yao Zhang, Zhiyu Han, Wen Cheng, Lina Tang, Fangyi Liu, Jianping Dou, Rongqin Zheng, Jie Yu, Jie Tian, Ping Liang
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:EBioMedicine
Subjects:
Ultrasound
Convolutional neural network
Focal liver lesions
Diagnosis
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396420301523

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http://www.sciencedirect.com/science/article/pii/S2352396420301523

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