Deep learning radiomics for focal liver lesions diagnosis on long-range contrast-enhanced ultrasound and clinical factors-Reference-Cited by-同舟云学术

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Deep learning radiomics for focal liver lesions diagnosis on long-range contrast-enhanced ultrasound and clinical factors

Published:2022-06 Issue:6 Volume:12 Page:3213-3226
ISSN:2223-4292
Container-title:Quantitative Imaging in Medicine and Surgery
language:
Short-container-title:Quant Imaging Med Surg

Author:

Liu Li,Tang Chunlin,Li Lu,Chen Ping,Tan Ying,Hu Xiaofei,Chen Kaixuan,Shang Yongning,Liu Deng,Liu He,Liu Hongjun,Nie Fang,Tian Jiawei,Zhao Mingchang,He Wen,Guo Yanli

Publisher

AME Publishing Company

Subject

Radiology, Nuclear Medicine and imaging

Link

https://qims.amegroups.com/article/download/93165/pdf

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence techniques in liver cancer;Frontiers in Oncology;2024-09-03

2. Artificial intelligence in hepatocellular carcinoma diagnosis: a comprehensive review of current literature;Journal of Gastroenterology and Hepatology;2024-06-23

3. Diagnostic Performance of an Artificial Intelligence Model Based on Contrast-Enhanced Ultrasound in Patients with Liver Lesions: A Comparative Study with Clinicians;Diagnostics;2023-11-05

4. Development and validation of a fully automated system using deep learning for opportunistic osteoporosis screening using low-dose computed tomography scans;Quantitative Imaging in Medicine and Surgery;2023-08

5. Deep learning radiomics for prediction of axillary lymph node metastasis in patients with clinical stage T1–2 breast cancer;Quantitative Imaging in Medicine and Surgery;2023-08

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