Radiomics features for the discrimination of tuberculomas from high grade gliomas and metastasis: a multimodal study.
Abhilasha IndoriaKarthik KulanthaiveluChandrajit PrasadDwarakanath SrinivasShilpa RaoNeelam SinhaVivek PotluriM NetravathiAtchayaram NaliniJitender SainiPublished in: Neuroradiology (2024)
This study demonstrates that radiomics features are effective in discriminating between tuberculoma, metastasis, and high-grade-glioma with notable accuracy and AUC scores. Features extracted from the ADC maps surfaced as the most robust predictors of the target variable.