Robust Automated Mouse Micro-CT Segmentation Using Swin UNEt TRansformers
Image-guided mouse irradiation is essential to understand interventions involving radiation prior to human studies. Our objective is to employ Swin UNEt TRansformers (Swin UNETR) to segment native micro-CT and contrast-enhanced micro-CT scans and benchmark the results against 3D no-new-Net (nnU-Net)...
Saved in:
| Main Authors: | Lu Jiang, Di Xu, Qifan Xu, Arion Chatziioannou, Keisuke S. Iwamoto, Susanta Hui, Ke Sheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Bioengineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/11/12/1255 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
FCSwinU: Fourier Convolutions and Swin Transformer UNet for Hyperspectral and Multispectral Image Fusion
by: Rumei Li, et al.
Published: (2024-10-01) -
EDH-STNet: An Evaporation Duct Height Spatiotemporal Prediction Model Based on Swin-Unet Integrating Multiple Environmental Information Sources
by: Hanjie Ji, et al.
Published: (2024-11-01) -
Research on Soybean Seedling Stage Recognition Based on Swin Transformer
by: Kai Ma, et al.
Published: (2024-11-01) -
Swin-PSO-SVM: A Novel Hybrid Model for Monkeypox Early Detection
by: Hager Saleh, et al.
Published: (2024-01-01) -
SSMM-DS: A semantic segmentation model for mangroves based on Deeplabv3+ with swin transformer
by: Zhenhua Wang, et al.
Published: (2024-10-01)