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

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, of which...

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Detalles Bibliográficos
Autores principales: Jin, Lei, Sun, Tianyang, Liu, Xi, Cao, Zehong, Liu, Yan, Chen, Hong, Ma, Yixin, Zhang, Jun, Zou, Yaping, Liu, Yingchao, Shi, Feng, Shen, Dinggang, Wu, Jinsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590813/
https://www.ncbi.nlm.nih.gov/pubmed/37876818
http://dx.doi.org/10.1016/j.isci.2023.108041

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590813/
https://www.ncbi.nlm.nih.gov/pubmed/37876818
http://dx.doi.org/10.1016/j.isci.2023.108041

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