Artificial intelligence neuropathologist for glioma classification using deep learning on hematoxylin and eosin stained slide images and molecular markers

BACKGROUND: Pathological diagnosis of glioma subtypes is essential for treatment planning and prognosis. Standard histological diagnosis of glioma is based on postoperative hematoxylin and eosin stained slides by neuropathologists. With advancing artificial intelligence (AI), the aim of this study w...

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Detalhes bibliográficos
Publicado no:Neuro Oncol
Main Authors: Jin, Lei, Shi, Feng, Chun, Qiuping, Chen, Hong, Ma, Yixin, Wu, Shuai, Hameed, N U Farrukh, Mei, Chunming, Lu, Junfeng, Zhang, Jun, Aibaidula, Abudumijiti, Shen, Dinggang, Wu, Jinsong
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Basic and Translational Investigations
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7850049/
https://ncbi.nlm.nih.gov/pubmed/32663285
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noaa163
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