Cargando…
RGB Three-Channel SWE-Based Ultrasomics Model: Improving the Efficiency in Differentiating Focal Liver Lesions
OBJECTIVE: To explore a new method for color image analysis of ultrasomics and investigate the efficiency in differentiating focal liver lesions (FLLs) by Red, Green, and Blue (RGB) three-channel SWE-based ultrasomics model. METHODS: One hundred thirty FLLs were randomly divided into training set (n...
Autores principales: | Cheng, Mei-Qing, Xian, Meng-Fei, Tian, Wen-Shuo, Li, Ming-De, Hu, Hang-Tong, Li, Wei, Zhang, Jian-Chao, Huang, Yang, Xie, Xiao-Yan, Lu, Ming-De, Kuang, Ming, Wang, Wei, Ruan, Si-Min, Chen, Li-Da |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504873/ https://www.ncbi.nlm.nih.gov/pubmed/34646763 http://dx.doi.org/10.3389/fonc.2021.704218 |
Ejemplares similares
-
Machine Learning-Based Ultrasomics Improves the Diagnostic Performance in Differentiating Focal Nodular Hyperplasia and Atypical Hepatocellular Carcinoma
por: Li, Wei, et al.
Publicado: (2021) -
Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis
por: Li, Wei, et al.
Publicado: (2018) -
Study Processes and Applications of Ultrasomics in Precision Medicine
por: Yin, Rui, et al.
Publicado: (2020) -
Ultrasomics prediction for cytokeratin 19 expression in hepatocellular carcinoma: A multicenter study
por: Zhang, Linlin, et al.
Publicado: (2022) -
Clinical Value of Machine Learning-Based Ultrasomics in Preoperative Differentiation Between Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma: A Multicenter Study
por: Ren, Shanshan, et al.
Publicado: (2021)