Cargando…
CT and CEA‐based machine learning model for predicting malignant pulmonary nodules
Computed tomography (CT), an efficient radiological technology, is used to detect lung cancer in the clinic. Carcinoembryonic antigen (CEA), a common tumor biomarker, is applied in the detection of various tumors. To highlight the advantages of two‐dimensional techniques and assist clinicians in opt...
Autores principales: | Liu, Man, Zhou, Zhigang, Liu, Fenghui, Wang, Meng, Wang, Yulin, Gao, Mengyu, Sun, Huifang, Zhang, Xue, Yang, Ting, Ji, Longtao, Li, Jiaqi, Si, Qiufang, Dai, Liping, Ouyang, Songyun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746043/ https://www.ncbi.nlm.nih.gov/pubmed/36056603 http://dx.doi.org/10.1111/cas.15561 |
Ejemplares similares
-
Serum MiR-4687-3p Has Potential for Diagnosis and Carcinogenesis in Non-small Cell Lung Cancer
por: Liu, Man, et al.
Publicado: (2020) -
Efficacy of 18F-FDG PET/CT in investigation of elevated CEA without known primary malignancy
por: Wong, Simon Sin-man, et al.
Publicado: (2016) -
Novel blood-based FUT7 DNA methylation is associated with lung cancer: especially for lung squamous cell carcinoma
por: Fang, Yifei, et al.
Publicado: (2022) -
CEAS: cis-regulatory element annotation system
por: Ji, Xuwo, et al.
Publicado: (2006) -
Value of Whole-Thyroid CT-Based Radiomics in Predicting Benign and Malignant Thyroid Nodules
por: Xu, Han, et al.
Publicado: (2022)