Joseph-Essa/Image-to-image-translation-GAN

Image-to-image translation For alzheimer's disease scanner using DCGAN implementation

Image-to-image-translation

Image-to-image translation For alzheimer's disease PET scanner using DCGAN implementation

📑Table of Contents

You're sections headers will be used to reference location of destination.

• 🟠Features
• 🔵Dataset
• 🟢Tools
• 🔴Notes

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🟠Features

generate fake images:

• generate fake images with accuracy (90%-95%)

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🔶-Sample Of Real Images :-

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🔶-Sample Of Fake Images :-

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🔶-Loss For Generator and Discriminator :-

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🔶-SSIM :-

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🔵Dataset

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About Dataset :

• Dataset from Aibl
• Dataset used in project ▶️ https://drive.google.com/drive/folders/1LR3F4bl0LPdsTdQikIR4bG4G3Hpte0kp?usp=sharing
• For More or Difirent Dataset Visit ▶️ https://ida.loni.usc.edu/login.jsp

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🟢Tools

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• python

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🔴Notes

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• Note : Tuning file for model ▶️ https://github.com/Joseph-Essa/Image-to-image-translation-GAN/tree/6106d29625cfe2e61e387a8277e5ed11a12b1429/tuning__file
• Note : Used Dataset in this project has a bad quality because it a PET scanners you can use MRI scanners for better quality and results
• Note : Check Code With outputs ▶️ https://github.com/Joseph-Essa/Image-to-image-translation-GAN/blob/0293e94deb20c3d7d7bad259e4d48eaf1692d17b/Image_to_image_translation_(GAN).ipynb

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