Prediction of Overall Survival of Brain Tumor Patients

09/10/2019

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by   Rupal Agravat, et al.

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Automated brain tumor segmentation plays an important role in the diagnosis and prognosis of the patient. In addition, features from the tumorous brain help in predicting patients overall survival. The main focus of this paper is to segment tumor from BRATS 2018 benchmark dataset and use age, shape and volumetric features to predict overall survival of patients. The random forest classifier achieves overall survival accuracy of 59 67 approach uses fewer features but achieves better accuracy than state of the art methods.