A multicenter proof-of-concept study on deep learning-based intraoperative discrimination of primary...
A multicenter proof-of-concept study on deep learning-based intraoperative discrimination of primary central nervous system lymphoma
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Author / Creator
Zhang, Xinke , Zhao, Zihan , Wang, Ruixuan , Chen, Haohua , Zheng, Xueyi , Liu, Lili , Lan, Lilong , Li, Peng , Wu, Shuyang , Cao, Qinghua , Luo, Rongzhen , Hu, Wanming , lyu, Shanshan , Zhang, Zhengyu , Xie, Dan , Ye, Yaping , Wang, Yu and Cai, Muyan
Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
Accurate intraoperative differentiation of primary central nervous system lymphoma (PCNSL) remains pivotal in guiding neurosurgical decisions. However, distinguishing PCNSL from other lesions, notably glioma, through frozen sections challenges pathologists. Here we sought to develop and validate a deep learning model capable of precisely distinguis...
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Full title
A multicenter proof-of-concept study on deep learning-based intraoperative discrimination of primary central nervous system lymphoma
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_45c05e897b59439eb97690104683ad64
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_45c05e897b59439eb97690104683ad64
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-024-48171-x
