[Transfer learning-based endoscopic image recognition of nasopharyngeal carcinoma: investigating pre-trained large models in small sample settings].

The endoscopic image-based auxiliary diagnostic model presented in this study accurately differentiates NPC, BH, and NOR under small-sample conditions. The model exhibits high diagnostic accuracy and robust generalization despite limited training data, highlighting its promise for clinical deployment as a screening and decision-support tool.