Convolutional neural networks for brain tumour segmentation

Convolutional neural networks for brain tumour segmentation

Abstract The introduction of quantitative image analysis has given rise to fields such as radiomics which have been used to predict clinical sequelae. One growing area of interest for analysis is brain tumours, in particular glioblastoma multiforme (GBM). Tumour segmentation is an important step in...

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Bibliographic Details
Main Authors: Abhishta Bhandari, Jarrad Koppen, Marc Agzarian
Format: Article
Language:English
Published: SpringerOpen 2020-06-01
Series:Insights into Imaging
Subjects:
Glioblastoma
Convolutional neural network
Artificial intelligence
Segmentation
Online Access:http://link.springer.com/article/10.1186/s13244-020-00869-4

Internet

http://link.springer.com/article/10.1186/s13244-020-00869-4

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