Medical Image Compression with Autoencoder

I am in need of an image compression model implemented in Python, or by Matlab for medical datasets. The primary aim is to achieve high compression levels on MRI and CT scans while maintaining diagnostic quality.

Key Requirements:
- High Compression Rate: We are prioritizing a small file size to allow for efficient storage and transfer of image data.
- Image Quality: The final compressed images should retain a high level of visual quality, critical for accurate medical diagnosis.
- Dataset Expertise: This project is focused on MRI scans and CT scans. Any experience with handling similar medical imaging datasets is a plus.

Ideal Skills and Experience:
- Strong programming skills in Python or Matlab.
- Profound understanding of image processing.
- Experience with autoencoders, particularly stacked autoencoders.
- Familiarity with medical imaging datasets, especially MRI and CT scans.
- Past work in image compression is highly desirable.

Deliverables:
- A working image compression model that meets the outlined requirements.
- Comprehensive documentation detailing the model's architecture and usage.
- A brief tutorial on how to retrain the model on new medical imaging datasets, if required.

Please provide examples of your previous work in related fields, as well as a brief overview of your proposed approach to the project. I look forward to your bids.