GitHub / xmindflow / DAEFormer
[MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xmindflow%2FDAEFormer
PURL: pkg:github/xmindflow/DAEFormer
Stars: 116
Forks: 14
Open issues: 12
License: mit
Language: Python
Size: 207 KB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: 2 months ago
Pushed at: almost 2 years ago
Last synced at: about 2 months ago
Topics: deep-learning, efficient-transformers, medical-image-analysis, medical-image-segmentation, pytorch, segmentation, transformer, unet-image-segmentation