https://github.com/shreyansh26/privacy-preserving-deep-learning-for-medical-image-classification
Privacy-preserving Deep Learning for Medical Image Classification for classifying chest X-ray images
https://github.com/shreyansh26/privacy-preserving-deep-learning-for-medical-image-classification
Last synced: 8 months ago
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Privacy-preserving Deep Learning for Medical Image Classification for classifying chest X-ray images
- Host: GitHub
- URL: https://github.com/shreyansh26/privacy-preserving-deep-learning-for-medical-image-classification
- Owner: shreyansh26
- Created: 2019-11-29T14:42:54.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-09-26T13:55:21.000Z (about 4 years ago)
- Last Synced: 2025-01-14T02:13:35.315Z (9 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 14.5 MB
- Stars: 3
- Watchers: 3
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Privacy-preserving Deep Learning for Medical Image Classification
Privacy Preserving Deep Learning for Medical Image Classification to detect chest pneumonia in chest X-ray images.
Uses [TF-Encrypted](https://github.com/tf-encrypted/tf-encrypted) to implement Secure Multiparty Computation (SMPC) and Differential Privacy. SMPC helps to provide secure predictions and Differential Privacy is used to enhance privacy.
The implementation of the project can be found [here](https://github.com/shreyansh26/Privacy-Preserving-Deep-Learning-for-Medical-Image-Classification/tree/master/Implementation/Medical).
The base model is a VGG16 model which is made secure and privacy-preserving.