Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project

Summary
- Introduces MedDeepCyleAL, a versatile deep learning and active learning integration for medical imaging annotation.
- Configurable framework allows customization without coding knowledge, enhancing user accessibility.
- Tested specifically in ophthalmology to aid in treatment protocols.
Why This Is Important
- The ease of configuration and broad applicability may significantly enhance medical image processing.
- Potentially marks a step forward in how medical imaging data is utilized and learned from, fostering better outcomes.
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