Postoperative outcome analysis of chronic rhinosinusitis using transfer learning with pre-trained foundation models based on endoscopic images: a multicenter, observational study

Postoperative outcome analysis of chronic rhinosinusitis using transfer learning with pre-trained foundation models based on endoscopic images: a multicenter, observational study

Abstract Background This study developed a foundation model-based analytical framework for the analysis of postoperative endoscopic images in chronic rhinosinusitis (CRS). The framework leverages the standardized identification and reproducible results enabled by artificial intelligence algorithms,...

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Bibliographic Details
Main Authors: Wentao Gong, Keguang Chen, Xiao Chen, Xueli Liu, Zhen Li, Li Wang, Yuxuan Shi, Quan Liu, Xicai Sun, Xinsheng Huang, Xu Luo, Hongmeng Yu
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BioMedical Engineering OnLine
Subjects:
Chronic rhinosinusitis
Surgical prognosis
Transfer learning
Pre-trained foundation model
Online Access:https://doi.org/10.1186/s12938-025-01428-y
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https://doi.org/10.1186/s12938-025-01428-y

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