URL dokumen:
https://prisma.simaster.ugm.ac.id/karya_files/beyond-invasive-biopsies--using-vasari-mri-features-to-predict-grade-and-molecular-parameters-in-gliomas-dcfcd07e645d245babe887e5e2daa016/db4265b7-a9d9-11ee-abf0-e4434b0aade8