Does Anatomical Contextual Information Improve 3D U-Net-Based Brain Tumor Segmentation?

Does Anatomical Contextual Information Improve 3D U-Net-Based Brain Tumor Segmentation?

Effective, robust, and automatic tools for brain tumor segmentation are needed for the extraction of information useful in treatment planning. Recently, convolutional neural networks have shown remarkable performance in the identification of tumor regions in magnetic resonance (MR) images. Context-a...

Full description

Bibliographic Details
Main Authors: Iulian Emil Tampu, Neda Haj-Hosseini, Anders Eklund
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Diagnostics
Subjects:
automatic segmentation
artificial intelligence
3D U-Net
anatomical contextual information
high grade glioma
low grade glioma
Online Access:https://www.mdpi.com/2075-4418/11/7/1159

Internet

https://www.mdpi.com/2075-4418/11/7/1159

Similar Items