DeepRadiology: Automated Disease Classification via MRI and CT Imaging

This project leverages deep Convolutional Neural Networks (CNNs) to analyze radiological data from MRI and CT scans. The goal is to build an automated diagnostic assistant capable of detecting subtle patterns and anomalies indicative of early-stage cancer or other pathologies that the human eye might miss, ultimately reducing diagnostic error rates and time-to-treatment.