Researcher - Brain Tumor Image Classification, Data Annotator
I built and trained a convolutional neural network to classify brain tumors from MRI images as part of a research project. The process involved annotating and labeling thousands of MRI images in the BraTS dataset, assigning tumor types based on provided criteria. I performed quality control checks to ensure data integrity and model effectiveness. • Labeled and classified glioma, meningioma, and pituitary tumors in MRI images. • Used Python and PyTorch for data preprocessing and annotation pipeline. • Conducted accuracy validation runs to refine labels and outputs. • Maintained meticulous record-keeping throughout experimental labeling.