AIM-CICs: an automatic identification method for cell-in-cell structures based on convolutional neural network

Whereas biochemical markers are available for most types of cell death, current studies on non-autonomous cell death by entosis rely strictly on the identification of cell-in-cell structures (CICs), a unique morphological readout that can only be quantified manually at present. Moreover, the manual...

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Detalles Bibliográficos
Autores principales: Tang, Meng, Su, Yan, Zhao, Wei, Niu, Zubiao, Ruan, Banzhan, Li, Qinqin, Zheng, You, Wang, Chenxi, Zhang, Bo, Zhou, Fuxiang, Wang, Xiaoning, Huang, Hongyan, Shi, Hanping, Sun, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701057/
https://www.ncbi.nlm.nih.gov/pubmed/35869978
http://dx.doi.org/10.1093/jmcb/mjac044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701057/
https://www.ncbi.nlm.nih.gov/pubmed/35869978
http://dx.doi.org/10.1093/jmcb/mjac044

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