This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

Official repository for the paper "ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography" in MICCAI 2023 Conference

Deep Learning system for Diabetic Retinopathy detection using EfficientNetB3, DenseNet201 & ResNet50V2 with Explainable AI (Grad-CAM & Score-CAM). Achieves 96% accuracy

AI-based Tuberculosis (TB) detection system using lung segmentation (ResUNet++), classification (EfficientNetB0), and explainable AI (Grad-CAM) for transparent, accurate, and reliable diagnosis from chest X-ray images.

A deep learning system that analyzes medical images (X-rays, CT scans, MRIs) to assist healthcare professionals in detecting diseases like cancer, pneumonia, and fractures. Implements multi-modal learning with explainable AI for clinical trustworthiness.

🔍 Detect Diabetic Retinopathy using deep learning and Explainable AI for accurate, interpretable results to aid early diagnosis and prevent blindness.