From NAMIC Wiki
Jump to: navigation, search
Home < Projects:GliomaSubtypeClassification

Back to Stony Brook Algorithms

Glioma Subtype Classification from Mass Spectrometry Data


Glioma histologies are the primary factor in the prognostic estimates and are used in determining the proper course of treatment. Furthermore, due to the sensitivity of cranial environment, real-time tumor cell classification and boundary detection can aid in the precision and completeness of tumor resection. By a recent improvement in mass spectrometry that allows for data collection in ambient environments without preparation, the goal is to provide surgeons with histopathological information for a resected sample.


Key Investigators

Georgia Tech: Jacob Huang, Behnood Gholami, and Allen Tannenbaum