2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data

2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data

IntroductionManagement of patients with brain metastases is often based on manual lesion detection and segmentation by an expert reader. This is a time- and labor-intensive process, and to that end, this work proposes an end-to-end deep learning segmentation network for a varying number of available...

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Bibliographic Details
Main Authors: Jon André Ottesen, Darvin Yi, Elizabeth Tong, Michael Iv, Anna Latysheva, Cathrine Saxhaug, Kari Dolven Jacobsen, Åslaug Helland, Kyrre Eeg Emblem, Daniel L. Rubin, Atle Bjørnerud, Greg Zaharchuk, Endre Grøvik
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Neuroinformatics
Subjects:
segmentation
brain metastases
deep learning
MRI
2.5D
3D
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2022.1056068/full

Internet

https://www.frontiersin.org/articles/10.3389/fninf.2022.1056068/full

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