A deep learning based smartphone application for early detection of nasopharyngeal carcinoma using endoscopic images
Abstract Nasal endoscopy is crucial for the early detection of nasopharyngeal carcinoma (NPC), but its accuracy relies heavily on the clinician’s expertise, posing challenges for primary healthcare providers. Here, we retrospectively analysed 39,340 nasal endoscopic white-light images from three hig...
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| Main Authors: | Yubiao Yue, Xinyu Zeng, Huanjie Lin, Jialong Xu, Fan Zhang, KeLin Zhou, Li Li, Zhenzhang Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-024-01403-2 |
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