ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network

BACKGROUND: The spatial distributions of different types of cells could reveal a cancer cell's growth pattern, its relationships with the tumor microenvironment and the immune response of the body, all of which represent key “hallmarks of cancer”. However, the process by which pathologists manu...

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Detalles Bibliográficos
Autores principales: Wang, Shidan, Wang, Tao, Yang, Lin, Yang, Donghan M., Fujimoto, Junya, Yi, Faliu, Luo, Xin, Yang, Yikun, Yao, Bo, Lin, ShinYi, Moran, Cesar, Kalhor, Neda, Weissferdt, Annikka, Minna, John, Xie, Yang, Wistuba, Ignacio I., Mao, Yousheng, Xiao, Guanghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Research paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921240/
https://www.ncbi.nlm.nih.gov/pubmed/31767541
http://dx.doi.org/10.1016/j.ebiom.2019.10.033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921240/
https://www.ncbi.nlm.nih.gov/pubmed/31767541
http://dx.doi.org/10.1016/j.ebiom.2019.10.033

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