Machine Learning for Histologic Subtype Classification of Non-Small Cell Lung Cancer: A Retrospective Multicenter Radiomics Study

BACKGROUND: Histologic phenotype identification of Non-Small Cell Lung Cancer (NSCLC) is essential for treatment planning and prognostic prediction. The prediction model based on radiomics analysis has the potential to quantify tumor phenotypic characteristics non-invasively. However, most existing...

Full description

Saved in:
Bibliographic Details
Published in:Front Oncol
Main Authors: Yang, Fengchang, Chen, Wei, Wei, Haifeng, Zhang, Xianru, Yuan, Shuanghu, Qiao, Xu, Chen, Yen-Wei
Format: Artigo
Language:Inglês
Published: Frontiers Media S.A. 2021
Subjects:
Oncology
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7840845/
https://ncbi.nlm.nih.gov/pubmed/33520719
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2020.608598
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items