HIGHLIGHTS
- who: PANYANAT AONPONG et al. from the School of Information Science Engineering, Ritsumeikan University, Kusatsu, Japan have published the article: Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer, in the Journal: (JOURNAL)
- what: The authors propose a genotype-guided radiomics method (GGR) for obtaining high prediction accuracy at a low cost. The aim of the study is to propose a technique that can maximize the recurrence prediction accuracy using CT image and gene_expression in the training phase and CT image in the testing phase. The authors propose a genotype-guided . . .
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