Deep Learning-Based Classification of Cancer Cell in Leptomeningeal Metastasis on Cytomorphologic Features of Cerebrospinal Fluid

Deep Learning-Based Classification of Cancer Cell in Leptomeningeal Metastasis on Cytomorphologic Features of Cerebrospinal Fluid

BackgroundIt is a critical challenge to diagnose leptomeningeal metastasis (LM), given its technical difficulty and the lack of typical symptoms. The existing gold standard of diagnosing LM is to use positive cerebrospinal fluid (CSF) cytology, which consumes significantly more time to classify cell...

Full description

Bibliographic Details
Main Authors: Wenjin Yu, Yangyang Liu, Yunsong Zhao, Haofan Huang, Jiahao Liu, Xiaofeng Yao, Jingwen Li, Zhen Xie, Luyue Jiang, Heping Wu, Xinhao Cao, Jiaming Zhou, Yuting Guo, Gaoyang Li, Matthew Xinhu Ren, Yi Quan, Tingmin Mu, Guillermo Ayuso Izquierdo, Guoxun Zhang, Runze Zhao, Di Zhao, Jiangyun Yan, Haijun Zhang, Junchao Lv, Qian Yao, Yan Duan, Huimin Zhou, Tingting Liu, Ying He, Ting Bian, Wen Dai, Jiahui Huai, Xiyuan Wang, Qian He, Yi Gao, Wei Ren, Gang Niu, Gang Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Oncology
Subjects:
leptomeningeal metastasis (LM)
deep learning
cytology
CSF
cancer cell
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.821594/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.821594/full

Similar Items