LU-NET: An Improved U-Net for Ventricular Segmentation
In order to solve the problem of low accuracy of the U-Net in cardiac ventricular segmentation, we propose an improved U-net named LU-Net by the following three methods. First, in order to improve the efficiency and effectiveness of extracting the features of the original image, we combine U-net wit...
Main Authors: | Jun Zhang, Jiazhuo Du, Hongpu Liu, Xiangdan Hou, Yihao Zhao, Mengyuan Ding |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8746074/ |
Similar Items
-
MSR U-Net: An Improved U-Net Model for Retinal Blood Vessel Segmentation
by: Giri Babu Kande, et al.
Published: (2024-01-01) -
RotU-Net: An Innovative U-Net With Local Rotation for Medical Image Segmentation
by: Fuxiang Zhang, et al.
Published: (2024-01-01) -
GAU U-Net for multiple sclerosis segmentation
by: Roba Gamal, et al.
Published: (2023-07-01) -
CU-Net: A New Improved Multi-Input Color U-Net Model for Skin Lesion Semantic Segmentation
by: Rania Ramadan, et al.
Published: (2022-01-01) -
MAU-Net: Mixed attention U-Net for MRI brain tumor segmentation
by: Yuqing Zhang, et al.
Published: (2023-11-01)