Annotation-free glioma grading from pathological images using ensemble deep learning

Annotation-free glioma grading from pathological images using ensemble deep learning

Glioma grading is critical for treatment selection, and the fine classification between glioma grades II and III is still a pathological challenge. Traditional systems based on a single deep learning (DL) model can only show relatively low accuracy in distinguishing glioma grades II and III. Introdu...

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Bibliographic Details
Main Authors: Feng Su, Ye Cheng, Liang Chang, Leiming Wang, Gengdi Huang, Peijiang Yuan, Chen Zhang, Yongjie Ma
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Heliyon
Subjects:
Glioma grading
Deep learning
Ensemble learning
Pathology
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023018613

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http://www.sciencedirect.com/science/article/pii/S2405844023018613

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