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What is Automated Cataract Detection about?
This study presents a novel framework for automated cataract detection that integrates deep learning with explainable AI techniques, achieving high accuracy and interpretability in identifying cataracts. Utilizing a multi-step approach with ResNet-18 architecture and Gradient-weighted Class Activation Mapping, the system addresses the limitations of traditional diagnostic methods, offering clinically relevant visual explanations. The findings suggest significant potential for improving cataract screening, p
- Author
- Nandana Manikandan
- Language
- EN