Radiomics-Based Features for Prediction of Histological Subtypes in Central Lung Cancer

OBJECTIVES: To evaluate the effectiveness of radiomic features on classifying histological subtypes of central lung cancer in contrast-enhanced CT (CECT) images. MATERIALS AND METHODS: A total of 200 patients with radiologically defined central lung cancer were recruited. All patients underwent dual...

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Detalles Bibliográficos
Autores principales: Li, Huanhuan, Gao, Long, Ma, He, Arefan, Dooman, He, Jiachuan, Wang, Jiaqi, Liu, Hu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8117140/
https://www.ncbi.nlm.nih.gov/pubmed/33996583
http://dx.doi.org/10.3389/fonc.2021.658887

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8117140/
https://www.ncbi.nlm.nih.gov/pubmed/33996583
http://dx.doi.org/10.3389/fonc.2021.658887

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