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This repository contains a comprehensive deep learning solution for Alzheimer's Disease Classification using state-of-the-art DenseNet architectures optimized with Optuna hyperparameter tuning. The project implements multiple DenseNet variants for classification of Alzheimer's disease stages from brain MRI images.
This project is part of the submission for the Intermediate Data Scientist Learning Path on the Dicoding platform. It is also a part of the IDCAMP 2024 training program.