In recent years, several deep learning (DL)-based approaches have gained popularity in the field of radiogenomics.44,45 Even though these methods have shown promise in the detection of IDH and 1p/19q status of gliomas,44,45 they tend to suffer with the problem of huge computational complexity. This evidence concerns the gene IDH2 and central nervous system cancer.