Artificial intelligence for cellular phenotyping diagnosis of nasal polyps by whole-slide imaging

Artificial intelligence for cellular phenotyping diagnosis of nasal polyps by whole-slide imaging

Background: artificial intelligence (AI) for cellular phenotyping diagnosis of nasal polyps by whole-slide imaging (WSI) is lacking. We aim to establish an AI chronic rhinosinusitis evaluation platform 2.0 (AICEP 2.0) to obtain the proportion of inflammatory cells for cellular phenotyping diagnosis...

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Bibliographic Details
Main Authors: Qingwu Wu, Jianning Chen, Yong Ren, Huijun Qiu, Lianxiong Yuan, Huiyi Deng, Yana Zhang, Rui Zheng, Haiyu Hong, Yueqi Sun, Xinyue Wang, Xuekun Huang, Chunkui Shao, Haotian Lin, Lanqing Han, Qintai Yang
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:EBioMedicine
Subjects:
Chronic rhinosinusitis
Artificial intelligence
Nasal polyps
Deep learning
Cellular phenotype
Whole-slide imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396421001298

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http://www.sciencedirect.com/science/article/pii/S2352396421001298

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