Deep Learning (DL) based segmentation algorithms have revolutionized medical image annotation by automating the process, specifically in the context of ophthalmology. The MedDeepCyleAL framework integrates Active Learning (AL) methods to enhance the effectiveness of these algorithms. Key Features:

• It allows researchers to flexibly choose different DL models.
• Includes an annotation tool for classification and segmentation of medical images.
• User-friendly interface that supports easy configuration changes.

Significance: This technical report showcases the vast potential of integrating AL with DL to optimize medical image processing, particularly in ophthalmology. It highlights the importance of continued development and customization in AI tools for better healthcare outcomes.