Meningioma-SFT-Classifier (Software)

Meningioma-SFT-Classifier is a decision support system is designed to classify 1.5 or 3 T short echo (30-32 ms) single-voxel MR spectra processed with the INTERPRET parameters of JMRUI2XML2 into either Meningioma or Solitary Fibrous Tumor (SFT) using Linear Discriminant Analysis (LDA). The tool assists radiologists or researchers by automating the classification of MR spectra, helping them to distinguish between meningiomas and solitary fibrous tumors. It applies an LDA model to analyze features extracted from MR spectra in XML format, generating a result based on this analysis.