Medical Image Detection for Early Disease Diagnosis Using Roboflow
This project develops an AI system to detect medical conditions from images such as X-rays or CT scans. Using Roboflow, datasets are labeled with bounding boxes to highlight regions of interest (e.g., tumors or lesions). The annotated data trains an object detection model to assist healthcare professionals in early and accurate diagnosis, improving patient outcomes and workflow efficiency.