Cargando…
Radiomics: an overview in lung cancer management—a narrative review
Radiomics is a novel approach for optimizing the analysis massive data from medical images to provide auxiliary guidance in clinical issues. Quantitative feature extraction is one of the critical steps of radiomics. The association between radiomics features and the clinicopathological information o...
Autores principales: | Chen, Bojiang, Yang, Lan, Zhang, Rui, Luo, Wenxin, Li, Weimin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576016/ https://www.ncbi.nlm.nih.gov/pubmed/33241040 http://dx.doi.org/10.21037/atm-20-4589 |
Ejemplares similares
-
Development and clinical application of radiomics in lung cancer
por: Chen, Bojiang, et al.
Publicado: (2017) -
Performance of radiomics models derived from different CT reconstruction parameters for lung cancer risk prediction
por: Zhang, Rui, et al.
Publicado: (2023) -
Diagnosis of Distant Metastasis of Lung Cancer: Based on Clinical and Radiomic Features
por: Zhou, Hongyu, et al.
Publicado: (2017) -
Metastatic patterns and prognosis of young lung cancer patients: a population-based study by age
por: Yang, Lan, et al.
Publicado: (2021) -
Risk factors for predicting mortality of COVID-19 patients: A systematic review and meta-analysis
por: Yang, Lan, et al.
Publicado: (2020)