Weakly supervised deep learning-based classification for histopathology of gliomas: a single center experience

Weakly supervised deep learning-based classification for histopathology of gliomas: a single center experience

Abstract Multiple artificial intelligence systems have been created to facilitate accurate and prompt histopathological diagnosis of tumors using hematoxylin-eosin-stained slides. We aimed to investigate whether weakly supervised deep learning can aid in glioma diagnosis. We analyzed 472 whole slide...

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Bibliographic Details
Main Authors: Mingrong Zuo, Xiang Xing, Linmao Zheng, Hao Wang, Yunbo Yuan, Siliang Chen, Tianping Yu, ShuXin Zhang, Yuan Yang, Qing Mao, Yongbin Yu, Ni Chen, Yanhui Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Glioma
Weakly supervised deep learning
Hematoxylin-eosin staining
Diagnosis
Online Access:https://doi.org/10.1038/s41598-024-84238-x
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https://doi.org/10.1038/s41598-024-84238-x

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