Exploring the U-Net++ Model for Automatic Brain Tumor Segmentation

Exploring the U-Net++ Model for Automatic Brain Tumor Segmentation

The accessibility and potential of deep learning techniques have increased considerably over the past years. Image segmentation is one of the many fields which have seen novel implementations being developed to solve problems in the domain. U-Net is an example of a popular deep learning model design...

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Bibliographic Details
Main Authors: Neil Micallef, Dylan Seychell, Claude J. Bajada
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Brain tumor
BraTS
deep learning
image segmentation
U-Net
U-Net++
Online Access:https://ieeexplore.ieee.org/document/9530684/

Internet

https://ieeexplore.ieee.org/document/9530684/

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