Identifying Robust Radiomics Features for Lung Cancer by Using In-Vivo and Phantom Lung Lesions

We propose a novel framework for determining radiomics feature robustness by considering the effects of both biological and noise signals. This framework is preliminarily tested in a study predicting the epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC) pa...

Full description

Saved in:
Bibliographic Details
Published in:Tomography
Main Authors: Lu, Lin, Sun, Shawn H., Afran, Aaron, Yang, Hao, Lu, Zheng Feng, So, James, Schwartz, Lawrence H., Zhao, Binsheng
Format: Artigo
Language:Inglês
Published: MDPI 2021
Subjects:
Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7934702/
https://ncbi.nlm.nih.gov/pubmed/33681463
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/tomography7010005
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items