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What is Ophthalmic Ultrasound YOLO Optimization about?

This study presents a modular ablation analysis framework for optimizing network architecture in ophthalmic ultrasound image detection using multi-version YOLO models. A clinical dataset of 1121 ocular ultrasound images was utilized, leading to the identification of an optimal architecture that balances accuracy and efficiency, achieving a mean average precision (mAP) of 64.0% at 26 FPS. The findings validate the framework

Author

alimsuryam.r

Language

EN