Diabetic Retinopathy Detection: Utilizing Multiprocessing for Processing Large Datasets and Transfer Learning to Fine-Tune Deep Learning Models | PyTorch
-
Updated
May 8, 2025 - Jupyter Notebook
Diabetic Retinopathy Detection: Utilizing Multiprocessing for Processing Large Datasets and Transfer Learning to Fine-Tune Deep Learning Models | PyTorch
The funds image quality label is provided by iMed (homepage: http://imed.nimte.ac.cn/ ; http://imed.nimte.ac.cn/aboutus.html)
Detect diabetic retinopathy with patient-level splits to prevent data leakage, grading both eyes via QWK-aware ensembling.
To associate your repository with the eyepacs topic, visit your repo's landing page and select "manage topics."