Medical Image Analysis YOLO Instance Segmentation for Neurological Conditions

Description

This project presents a YOLO-based instance segmentation model tailored for the analysis of medical images, with a primary focus on detecting and segmenting neurological conditions in brain scans. Leveraging deep learning techniques, the model aims to provide precise and efficient identification and delineation of anomalies, such as tumors and lesions, within medical images. The development of this model has the potential to significantly enhance the accuracy and speed of diagnosis and treatment planning in neurology, ultimately improving patient care and outcomes.