Tumour Class Prediction using Radiology and Pathology Images

Tumour Class Prediction using Radiology and Pathology Images Submitted to CPM,MICCAI Devised a workflow for automated interpretation of radiology and pathology images of brain tumours to aid in the detection of tumour subtype. Accomplishment: As a part of computational precision medicine challenge hosted by MICCAI. Model reported an accuracy of 0.75 against the unlabelled dataset. It secured third position in the contest.