Advantages of transformer and its application for medical image segmentation: a survey

Advantages of transformer and its application for medical image segmentation: a survey

Abstract Purpose Convolution operator-based neural networks have shown great success in medical image segmentation over the past decade. The U-shaped network with a codec structure is one of the most widely used models. Transformer, a technology used in natural language processing, can capture long-...

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Bibliographic Details
Main Authors: Qiumei Pu, Zuoxin Xi, Shuai Yin, Zhe Zhao, Lina Zhao
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BioMedical Engineering OnLine
Subjects:
Deep learning
Transformer
Medical image
Segmentation
Codec
Online Access:https://doi.org/10.1186/s12938-024-01212-4

Internet

https://doi.org/10.1186/s12938-024-01212-4

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