A weakly supervised deep learning-based method for glioma subtype classification using WSI and mpMRIs

Accurate glioma subtype classification is critical for the treatment management of patients with brain tumors. Developing an automatically computer-aided algorithm for glioma subtype classification is challenging due to many factors. One of the difficulties is the label constraint. Specifically, eac...

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Detalles Bibliográficos
Autores principales: Hsu, Wei-Wen, Guo, Jing-Ming, Pei, Linmin, Chiang, Ling-An, Li, Yao-Feng, Hsiao, Jui-Chien, Colen, Rivka, Liu, Peizhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005548/
https://www.ncbi.nlm.nih.gov/pubmed/35414643
http://dx.doi.org/10.1038/s41598-022-09985-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005548/
https://www.ncbi.nlm.nih.gov/pubmed/35414643
http://dx.doi.org/10.1038/s41598-022-09985-1

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