Python Medical Image Analysis for Diabetic Retinopathy

I'm seeking a professional skilled in Python and experienced in medical image processing. The project involves working with retinal fundus images for both segmentation and classification tasks aimed at identifying diabetic retinopathy.

Key Tasks:
- Implementing segmentation and classification algorithms using Python on retinal fundus images.
- Achieving high accuracy for final deployment, suitable for real-world clinical settings.

Ideal Skills:
- Proficiency in Python and familiarity with medical image processing libraries.
- Experience with segmentation and classification tasks in medical imaging.
- Proven track record of achieving high accuracy in machine learning models for medical image analysis.

Please note, the primary goal of this project is to develop a system capable of accurately processing and analyzing retinal fundus images for diabetic retinopathy detection, with accuracy levels suitable for final deployment in clinical settings.

Code is attached below, has 76% accuracy.

Kaggle Datasets:
https://www.kaggle.com/datasets/sovitrath/diabetic-retinopathy-224x224-gaussian-filtered
https://www.kaggle.com/datasets/sovitrath/diabetic-retinopathy-224x224-grayscale-images?select=train.csv
https://www.kaggle.com/datasets/sovitrath/diabetic-retinopathy-224x224-2019-data?select=train.csv