"Final Year Project: Content-Based Radiogrphic Image Retrieval with Deep Learning and Interpretability of Results using Saliency and Grad-CAM". All this work has been integrated into a web application with the aim of simplifying the training and research steps without having to execute your lines of code each time.
"The application was developed using the Flask framework for the backend and Bootstrap for the front-end. It incorporates the Siamese Neural Network (SNN) architecture with the ResNet18 model. Image feature extraction utilized the FAISS library (Facebook AI Similarity Search) with the L2 (Euclidean) distance measure."
