Real-Time Ear Lesion Diagnosis Using an Ultralight and Ultrafast Deep Learning Model and a Large-Scale Ear Endoscopic Dataset

The authors developed an ultrafast and ultralight deep learning model called Best-EarNet that achieves state-of-the-art performance in diagnosing eight types of ear diseases and normal ears. Best-EarNet is designed for real-world deployment, balancing diagnosis accuracy, inference speed, and model parameter size.