Real-Time Glottis Detection Framework via Spatial-decoupled Feature Learning for Nasal Transnasal Intubation
Real-Time Glottis Detection Framework via Spatial-decoupled Feature Learning for Nasal Transnasal Intubation explores Mobile GlottisNet is a lightweight, real-time glottis detection framework for emergency intubation, achieving high FPS on edge devices with a small 5MB model size, making it ideal for resource-constrained environments.. Commercial viability score: 7/10 in Medical AI.
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