Histologic subtype classification of non-small cell lung cancer using PET/CT images
Histologic subtype classification of non-small cell lung cancer using PET/CT images
About this item
Full title
Author / Creator
Han, Yong , Ma, Yuan , Wu, Zhiyuan , Zhang, Feng , Zheng, Deqiang , Liu, Xiangtong , Tao, Lixin , Liang, Zhigang , Yang, Zhi , Li, Xia , Huang, Jian and Guo, Xiuhua
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Purposes
To evaluate the capability of PET/CT images for differentiating the histologic subtypes of non-small cell lung cancer (NSCLC) and to identify the optimal model from radiomics-based machine learning/deep learning algorithms.
Methods
In this study, 867 patients with adenocarcinoma (ADC) and 552 patients with squamous cell carcinoma...
Alternative Titles
Full title
Histologic subtype classification of non-small cell lung cancer using PET/CT images
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2480547168
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2480547168
Other Identifiers
ISSN
1619-7070
E-ISSN
1619-7089
DOI
10.1007/s00259-020-04771-5
