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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב: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
פורמט: Artigo
שפה:Inglês
יצא לאור: Oxford University Press 2020
נושאים:
Basic and Translational Investigations
גישה מקוונת: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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