https://github.com/dystasatria/densenet-optuna-hyperparameter
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.
https://github.com/dystasatria/densenet-optuna-hyperparameter
adni-dataset alzheimer-detection alzheimer-disease-classification brain-mri-classification computer-vision deep-learning densenet121 densenet169 densenet201 hyperparameter-tuning keras medical-ai medical-image-analysis neuroimaging optuna-optimization streamlit-webapp tensorflow transfer-learning
Last synced: 2 months ago
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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.
- Host: GitHub
- URL: https://github.com/dystasatria/densenet-optuna-hyperparameter
- Owner: dystaSatria
- Created: 2025-06-02T23:57:38.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-19T06:18:12.000Z (about 1 year ago)
- Last Synced: 2025-07-05T06:40:03.405Z (about 1 year ago)
- Topics: adni-dataset, alzheimer-detection, alzheimer-disease-classification, brain-mri-classification, computer-vision, deep-learning, densenet121, densenet169, densenet201, hyperparameter-tuning, keras, medical-ai, medical-image-analysis, neuroimaging, optuna-optimization, streamlit-webapp, tensorflow, transfer-learning
- Language: Jupyter Notebook
- Homepage: https://alzheimerclassificationdensenetoptuna.streamlit.app/
- Size: 7.71 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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