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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Detaylı Bibliyografya
Asıl Yazarlar: 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
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Elsevier 2021-04-01
Seri Bilgileri:EBioMedicine
Konular:
Chronic rhinosinusitis
Artificial intelligence
Nasal polyps
Deep learning
Cellular phenotype
Whole-slide imaging
Online Erişim:http://www.sciencedirect.com/science/article/pii/S2352396421001298

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