explainable-ai-grad-cam

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Masud744 / oncoscan-ai

OncoScan AI is a full-stack explainable artificial intelligence system developed for detecting brain tumors from MRI images using a Convolutional Neural Network (CNN). The system integrates Grad-CAM for heatmap-based explainable AI visualization, a FastAPI backend for prediction and data management, and a web-based frontend interface for user inter

deep-learning-cnn brain-tumor-detection-medical-image-analysis explainable-ai-grad-cam fastapi-full-stack-web-application ai-healthcare-medical-ai machine-learning-tensorflow-opencv-sqlite

Updated Mar 30, 2026
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Christian-Stefan / Synthetic-Data-Based-Lung-Nodule-Classification-Using-Deep-Learning

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This repository is the home of a comprehensive work carried out in an attempt to reconstruct and classify cancerous nodules located on parenchyma (the lung tissue) using a D.L. model that was entirely developed using synthetic MRI data. The project was conducted alongside three other colleagues, Vani, Aidan, and Ma Lan.

deep-neural-networks deep-learning synthetic-biology healthcare synthetic-images cancer-research synthetic-data cancer-detection explainable-ai cancer-prediction healthcare-data healthcare-ai cancer-classification grad-cam-visualization explainable-ai-in-medical-imaging synthetic-mri explainable-ai-grad-cam grad-cam-interpretability

Updated Aug 16, 2026

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