zeyadusf / autoencoder-deeplearningtask

Auto Encoder - Denoising Alzheimer MRI Data

AutoEncoder - Denoising Images

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In this project, the Auto Encoder architecture will be applied in deep learning to denoising Images. In this project, I used data from Kaggel " Alzheimer's MRI images", and applied NOISE to it (imgPX*0.25). On the left is the original image and on the right is after applying Noise.

🔗Dataset in kaggle : Alzheimer MRI Preprocessed Dataset
🔗 NoteBooks in Kaggel Denoising Alzheimer MRI - Auto Encoder

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The result of this model was:

696 images in train and 100 in Validation and 100 in Test ,

• loss: 0.2959 - val_loss: 0.2949   After 500 Epoch.
• Evaluate : 0 .2974
• Avg of peak signal noise ratio : 21.889

🚀 Technologies

The following tools were used in this project:

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