A multi-center performance assessment for automated histopathological classification and grading of glioma using whole slide images

Summary: Accurate pathological classification and grading of gliomas is crucial in clinical diagnosis and treatment. The application of deep learning techniques holds promise for automated histological pathology diagnosis. In this study, we collected 733 whole slide images from four medical centers,...

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Autores principales:	Lei Jin, Tianyang Sun, Xi Liu, Zehong Cao, Yan Liu, Hong Chen, Yixin Ma, Jun Zhang, Yaping Zou, Yingchao Liu, Feng Shi, Dinggang Shen, Jinsong Wu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2023-11-01
Colección:	iScience
Materias:	Cancer Computational bioinformatics Health informatics Pathology
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2589004223021181
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