Research Articie
18 March 2024
D-TransUNet: A Breast Tumor Ultrasound Image Segmentation Model Based on Deep Feature Fusion
Yiying Wan
1
,
Yaru Yang
2
,
Hongjiang Guo
3
,
Yangtian Yan
4
,
Tongtong Liu
5
,
Wenpei Liu
6
,
Yiru Wang
7
,
Wenhang Wang
8
,
Hao Dang
9
danglee@hactcm.edu.cn
show author's information
- 1 : School of Information Technology, Henan University of Chinese Medicine, Zhengzhou 450046, P.R. China
- 2 : School of Information Technology, Henan University of Chinese Medicine, Zhengzhou 450046, P.R. China
- 3 : School of Information Technology, Henan University of Chinese Medicine, Zhengzhou 450046, P.R. China
- 4 : School of Information Technology, Henan University of Chinese Medicine, Zhengzhou 450046, P.R. China
- 5 : School of Information Technology, Henan University of Chinese Medicine, Zhengzhou 450046, P.R. China
- 6 : School of Information Technology, Henan University of Chinese Medicine, Zhengzhou 450046, P.R. China
- 7 : School of Information Technology, Henan University of Chinese Medicine, Zhengzhou 450046, P.R. China
- 8 : School of Information Technology, Henan University of Chinese Medicine, Zhengzhou 450046, P.R. China
- 9 : School of Information Technology, Henan University of Chinese Medicine; Zhengzhou Key Laboratory of Intelligent Analysis and Utilization of Traditional Chinese Medicine Information, Zhengzhou
DOI:
10.55578/joaims.240226.001
Keywords:
Breast tumor ultrasound image segmentation; Central dense connection; TransUNet; Deep learning
Cite this article:
Wan, Yiying et al., D-TransUNet: A Breast Tumor Ultrasound Image Segmentation Model Based on Deep Feature Fusion, Journal of Artificial Intelligence for Medical Sciences, 5(1-2), 1-8, 2024.
