Advancing semantic segmentation: Enhanced UNet algorithm with attention mechanism and deformable convolution
Saved in:
| Main Authors: | Effat Sahragard, Hassan Farsi, Sajad Mohamadzadeh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11737789/?tool=EBI |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advancing semantic segmentation: Enhanced UNet algorithm with attention mechanism and deformable convolution.
by: Effat Sahragard, et al.
Published: (2025-01-01) -
LA-ResUNet: An Efficient Linear Attention Mechanism in ResUNet for the Semantic Segmentation of Pulmonary Nodules
by: P. C. Sarah Prithvika, et al.
Published: (2024-01-01) -
CLM-UNet: A Remote Sensing Image Semantic Segmentation Method Incorporating Attention Mechanism
by: Panpan Zhang, et al.
Published: (2025-01-01) -
GCBAM-UNet: Sun Glare Segmentation Using Convolutional Block Attention Module
by: Nabila Zrira, et al.
Published: (2024-12-01) -
DAF-UNet: Deformable U-Net with Atrous-Convolution Feature Pyramid for Retinal Vessel Segmentation
by: Yongchao Duan, et al.
Published: (2025-04-01)