This repository contains a collection of projects and experiments in Computer Vision (CV), covering applications in medical imaging, generative AI, and explainability. Each project demonstrates different deep learning techniques for classification, generation, and interpretability in CV tasks.
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Chest_X_ray_Classification
Deep learning models for detecting abnormalities in chest X-rays, aiding in medical diagnosis. -
Skin_cancer_classification
CNN-based models for detecting and classifying skin cancer conditions from dermoscopic images. -
Generative_AI
Image generation and transformation experiments using advanced generative techniques. -
explainability_in_cv
Explainable AI (XAI) techniques applied to computer vision models (e.g., Grad-CAM, saliency maps) for improving interpretability and trust in medical/vision AI systems.
- Clone the repository:
git clone https://github.com/your-username/computer-vision-projects.git