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

Abstract 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...

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Veröffentlicht in:	Neuro-oncology (Charlottesville, Va.) Va.), 2021-01, Vol.23 (1), p.44-52
Hauptverfasser:	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
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Basic and Translational Investigations Deep Learning Eosine Yellowish-(YS) Glioma - diagnosis Hematoxylin Humans Neuropathology
Online-Zugang:	Volltext
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