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of 3
pro vyhledávání: '"Evi J. van Kempen"'
Autor:
Evi J. van Kempen, Max Post, Manoj Mannil, Benno Kusters, Mark ter Laan, Frederick J. A. Meijer, Dylan J. H. A. Henssen
Publikováno v:
Cancers, Vol 13, Iss 11, p 2606 (2021)
Treatment planning and prognosis in glioma treatment are based on the classification into low- and high-grade oligodendroglioma or astrocytoma, which is mainly based on molecular characteristics (IDH1/2- and 1p/19q codeletion status). It would be of
Externí odkaz:
https://doaj.org/article/1052bcf3c6de49918a195c6143e84317
Autor:
Dylan J H A Henssen, Manoj Mannil, Max Post, Benno Küsters, Mark ter Laan, Frederick J. A. Meijer, Evi J van Kempen
Publikováno v:
Cancers, Vol 13, Iss 2606, p 2606 (2021)
Cancers
Cancers, 13
Cancers, 13, 11
Cancers
Cancers, 13
Cancers, 13, 11
Simple Summary Glioma prognosis and treatment are based on histopathological characteristics and molecular profile. Following the World Health Organization (WHO) guidelines (2016), the most important molecular diagnostic markers include IDH1/2-genoty
Autor:
Max Post, Manoj Mannil, Mark ter Laan, Frederick J. A. Meijer, Richard L Witkam, Ajay Patel, Evi J van Kempen, Dylan J H A Henssen
Publikováno v:
European Radiology, 31, 12, pp. 9638-9653
European Radiology, 31, 9638-9653
European Radiology
European Radiology, 31, 9638-9653
European Radiology
Objectives Different machine learning algorithms (MLAs) for automated segmentation of gliomas have been reported in the literature. Automated segmentation of different tumor characteristics can be of added value for the diagnostic work-up and treatme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::500e3a463fbf4fd4bfd50bf1c366bcb9