Systematic comparison of deep-learning based fusion strategies for multi-modal ultrasound in diagnosis of liver cancer-Reference-Cited by-同舟云学术

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Systematic comparison of deep-learning based fusion strategies for multi-modal ultrasound in diagnosis of liver cancer

Published:2024-10 Issue: Volume:603 Page:128257
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Li Ming-De,Li Wei,Lin Man-Xia,Lin Xin-Xin,Hu Hang-Tong,Wang Ying-Chen,Ruan Si-Min,Huang Ze-Rong,Lu Rui-Fang,Li Lv,Kuang Ming,Lu Ming-De,Chen Li-Da,Wang Wei,Huang Qing-hua

Funder

Natural Science Foundation of Guangdong Province

Sun Yat-sen University Cancer Center

National Natural Science Foundation of China-Shenzhen Robotics Research Center Project

Science and Technology Planning Project of Fuzhou

Publisher

Elsevier BV

Reference47 articles.

1. Global Cancer Statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA Cancer J. Clin.,2021

2. Modern therapeutic approaches for the treatment of malignant liver tumours;Petrowsky;Nat. Rev. Gastroenterol. Hepatol.,2020

3. Nomogram based on inflammatory indices for differentiating intrahepatic cholangiocarcinoma from hepatocellular carcinoma;Chen;Cancer Med,2020

4. Hepatocellular carcinoma automatic diagnosis within Ceus and B-mode ultrasound images using advanced machine learning methods;Mitrea;Sensors,2021

5. Computer-aided diagnosis of focal liver lesions using contrast-enhanced ultrasonography with perflubutane microbubbles;Kondo;IEEE Trans. Med. Imaging,2017

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