A transformer-based generative adversarial network for brain tumor segmentation

A transformer-based generative adversarial network for brain tumor segmentation

Brain tumor segmentation remains a challenge in medical image segmentation tasks. With the application of transformer in various computer vision tasks, transformer blocks show the capability of learning long-distance dependency in global space, which is complementary to CNNs. In this paper, we propo...

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Bibliographic Details
Main Authors: Liqun Huang, Enjun Zhu, Long Chen, Zhaoyang Wang, Senchun Chai, Baihai Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Neuroscience
Subjects:
generative adversarial network
transformer
deep learning
automatic segmentation
brain tumor
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.1054948/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.1054948/full

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