Deep morphological quantification and clustering of brain cancer cells using phase-contrast imaging

Deep morphological quantification and clustering of brain cancer cells using phase-contrast imaging

Glioblastoma Multiforme (GBM) is a very aggressive brain tumour. Previous studies have suggested that the morphological distribution of single GBM cells may hold information about the severity. This study aims to find if there is a potential for automated morphological qualification and clustering o...

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Bibliographic Details
Main Author: Engberg, Jonas
Format: Others
Language:English
Published: Uppsala universitet, Avdelningen för visuell information och interaktion 2021
Subjects:
Glioblastoma
UMAP
Heterogeneity
Clustering
Convolutional neural network
Siamese neural network
Bioinformatics (Computational Biology)
Bioinformatik (beräkningsbiologi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-454959

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-454959

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