Prognosis, survival of a brain cancer patient by Radiomics
◉ Cancer Moonshot AI Imaging Biomarkers platform can take MRI image series as an input.
◉ Deep learning AI software interprets the MRI and performs brain tumor segmentation with multiple regions.
◉ Post brain tumor segmentation the image markers are phenotyped to understand the Radiomic features.
◉ These influencing features are used for machine learning and models are used to predict the survival of the patient.
◉ This can help cancer care physicians to predict survival with a deep understanding of the tumor with more accuracy.
Input MRI
Cancer Moonshot AI software
Segmentation
Radiomics
Survival: 12-13 Years
Survival prediction