Kidney Tumor & Stone Classification with MLOps
Published:
Built and productionized an end-to-end deep learning model to classify kidney abnormalities (tumors and stones) from medical imaging data. This project emphasized a robust MLOps workflow, incorporating a full CI/CD pipeline for automated training and deployment. DVC was used for data versioning to ensure reproducibility and streamlined data management.
Tech Stack: Python, TensorFlow, DVC, Git, MLOps, DagsHub.