Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer

Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer

Abstract Background Radiomics suffers from feature reproducibility. We studied the variability of radiomics features and the relationship of radiomics features with tumor size and shape to determine guidelines for optimal radiomics study. Methods We dealt with 260 lung nodules (180 for training, 80...

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Bibliographic Details
Main Authors: Seung-Hak Lee, Hwan-ho Cho, Ho Yun Lee, Hyunjin Park
Format: Article
Language:English
Published: BMC 2019-07-01
Series:Cancer Imaging
Subjects:
Radiomics
Computed tomography
Feature reproducibility
Guideline for multi-center analysis
Precision medicine
Online Access:http://link.springer.com/article/10.1186/s40644-019-0239-z

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http://link.springer.com/article/10.1186/s40644-019-0239-z

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