U-Net Based Segmentation and Characterization of Gliomas

SIMPLE SUMMARY: Gliomas comprise 80% of all malignant brain tumors. We aimed to develop a deep learning-based framework for the automatic segmentation and characterization of gliomas. In this retrospective study, patients were included if they: (1) had a diagnosis of glioma confirmed by histopatholo...

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Detalles Bibliográficos
Autores principales: Kihira, Shingo, Mei, Xueyan, Mahmoudi, Keon, Liu, Zelong, Dogra, Siddhant, Belani, Puneet, Tsankova, Nadejda, Hormigo, Adilia, Fayad, Zahi A., Doshi, Amish, Nael, Kambiz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496685/
https://www.ncbi.nlm.nih.gov/pubmed/36139616
http://dx.doi.org/10.3390/cancers14184457

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496685/
https://www.ncbi.nlm.nih.gov/pubmed/36139616
http://dx.doi.org/10.3390/cancers14184457

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