Development and Validation of a Deep Learning System for Nasopharyngeal Carcinoma Using Endoscopic Images

Develop a deep learning algorithm via nasal endoscopic images from eight NPC treatment centerto detect and screen nasopharyngeal carcinoma(NPC).

Inclusion Criteria:The quality of endoscopic images should clinical acceptable.Patients were diagnosed with biopsy(NPC, benign hyperplasia). Control corhort(normal nasopharynx) don't require bispsy result.Exclusion Criteria:images with spots from lens flares or stains, and overexposure were excluded from further analysis.image can not expose most part of lesion clearly.