An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning

Please use this identifier to cite or link to this item: http://ir.sinica.edu.tw/handle/201000000A/82480

Title:	An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning
Authors:	Chen, CL Chen, CC Yu, WH Chen, SH Chang, YC Hsu, TI Hsiao, M Yeh, CY Chen, CY
Issue Date:	2021-02
Relation:	NATURE COMMUNICATIONS 12, 1193
URI:	http://ir.sinica.edu.tw/handle/201000000A/82480
ISSN:	http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Drexel&SrcApp=hagerty_opac&KeyRecord=2041-1723&DestApp=JCR&RQ=IF_CAT_BOXPLOT
URL:	http://dx.doi.org/10.1038/s41467-021-21467-y
Appears in Collections:	基因體研究中心

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