A Content Based Recommender Algorithm for Clustering Brain MRI Scan Images leveraging Deep Neural Networks

The accurate interpretation of medical imaging, such as MRI and CT scans, is crucial for the difficult medical procedures of diagnosing and treating brain tumors. Due to the exponential growth of medical image collections, healthcare professionals have trouble choosing relevant reference cases throughout the diagnosis procedure. The Brain Tumor Image Recommendation System (BTIRS), which is described in this abstract, is a novel technique that attempts to provide tailored help to medical practitioners by proposing suitable images of brain tumors from enormous databases. BTIRS uses cutting-edge machine learning methods, semantic analysis, and user input to provide efficient image suggestion. This method automatically recommends a set of relevant brain tumor images based on the input scan, the patient’s medical background, and the clinical setting