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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Detalles Bibliográficos
Autores principales: Yang, Qi, Wei, Jingwei, Hao, Xiaohan, Kong, Dexing, Yu, Xiaoling, Jiang, Tianan, Xi, Junqing, Cai, Wenjia, Luo, Yanchun, Jing, Xiang, Yang, Yilin, Cheng, Zhigang, Wu, Jinyu, Zhang, Huiping, Liao, Jintang, Zhou, Pei, Song, Yu, Zhang, Yao, Han, Zhiyu, Cheng, Wen, Tang, Lina, Liu, Fangyi, Dou, Jianping, Zheng, Rongqin, Yu, Jie, Tian, Jie, Liang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Research paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7262550/
https://www.ncbi.nlm.nih.gov/pubmed/32485640
http://dx.doi.org/10.1016/j.ebiom.2020.102777

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7262550/
https://www.ncbi.nlm.nih.gov/pubmed/32485640
http://dx.doi.org/10.1016/j.ebiom.2020.102777

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