Application of visual transformer in renal image analysis

Application of visual transformer in renal image analysis

Abstract Deep Self-Attention Network (Transformer) is an encoder–decoder architectural model that excels in establishing long-distance dependencies and is first applied in natural language processing. Due to its complementary nature with the inductive bias of convolutional neural network (CNN), Tran...

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Bibliographic Details
Main Authors: Yuwei Yin, Zhixian Tang, Huachun Weng
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BioMedical Engineering OnLine
Subjects:
Deep learning
Transformer
Convolutional neural network
Attention mechanism
Kidney disease
Online Access:https://doi.org/10.1186/s12938-024-01209-z

Internet

https://doi.org/10.1186/s12938-024-01209-z

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