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Supplemental Tables from Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas

Authors :
Cheng-Yu Chen
Yun Yen
Chao-Ching Huang
Ray-Jade Chen
Ping-Huei Tsai
Justin Bo-Kai Hsu
Sho-Jen Cheng
Yu-Chieh Jill Kao
Kevin Li-Chun Hsieh
Fei-Ting Hsu
Chia-Feng Lu
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

Abstract

Table S1 Full list of included TCIA glioma subjects for the training of the machine-learning models (KPS = Karnofsky Performance Scale) Table S2 MRI data integrity of the training dataset Table S3 Full list of included subjects as an independent validation dataset Table S4 The formulae for the calculation of primary radiomic features.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....5a15f688117e98142b43fe483c6fa3ce