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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Detalles Bibliográficos
Autores principales: Wu, Qingwu, Chen, Jianning, Ren, Yong, Qiu, Huijun, Yuan, Lianxiong, Deng, Huiyi, Zhang, Yana, Zheng, Rui, Hong, Haiyu, Sun, Yueqi, Wang, Xinyue, Huang, Xuekun, Shao, Chunkui, Lin, Haotian, Han, Lanqing, Yang, Qintai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050855/
https://www.ncbi.nlm.nih.gov/pubmed/33857906
http://dx.doi.org/10.1016/j.ebiom.2021.103336

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050855/
https://www.ncbi.nlm.nih.gov/pubmed/33857906
http://dx.doi.org/10.1016/j.ebiom.2021.103336

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