TransU²-Net: An Effective Medical Image Segmentation Framework Based on Transformer and U²-Net

Background: In the past few years, U-Net based U-shaped architecture and skip-connections have made incredible progress in the field of medical image segmentation. U²-Net achieves good performance in computer vision. However, in the medical image segmentation task, U²-Net with...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Xiang Li, Xianjin Fang, Gaoming Yang, Shuzhi Su, Li Zhu, Zekuan Yu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2023-01-01
Schriftenreihe:	IEEE Journal of Translational Engineering in Health and Medicine
Schlagworte:	Deep learning medical image segmentation transformer U-Net
Online-Zugang:	https://ieeexplore.ieee.org/document/10164163/
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