Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images

Current diagnosis of glioma types requires combining both histological features and molecular characteristics, which is an expensive and time-consuming procedure. Determining the tumor types directly from whole-slide images (WSIs) is of great value for glioma diagnosis. This study presents an integr...

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Detalles Bibliográficos
Autores principales: Wang, Weiwei, Zhao, Yuanshen, Teng, Lianghong, Yan, Jing, Guo, Yang, Qiu, Yuning, Ji, Yuchen, Yu, Bin, Pei, Dongling, Duan, Wenchao, Wang, Minkai, Wang, Li, Duan, Jingxian, Sun, Qiuchang, Wang, Shengnan, Duan, Huanli, Sun, Chen, Guo, Yu, Luo, Lin, Guo, Zhixuan, Guan, Fangzhan, Wang, Zilong, Xing, Aoqi, Liu, Zhongyi, Zhang, Hongyan, Cui, Li, Zhang, Lan, Jiang, Guozhong, Yan, Dongming, Liu, Xianzhi, Zheng, Hairong, Liang, Dong, Li, Wencai, Li, Zhi-Cheng, Zhang, Zhenyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567721/
https://www.ncbi.nlm.nih.gov/pubmed/37821431
http://dx.doi.org/10.1038/s41467-023-41195-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567721/
https://www.ncbi.nlm.nih.gov/pubmed/37821431
http://dx.doi.org/10.1038/s41467-023-41195-9

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