jlcsilva / EfficientUNetPlusPlus

Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.

Date Created 2021-06-20 (3 years ago)

Commits 20 (last one 3 years ago)

Stargazers 66 (0 this week)

Watchers 1 (0 this week)

Forks 10

License mit

Ranking

RepositoryStats indexes 641,981 repositories, of these jlcsilva/EfficientUNetPlusPlus is ranked #411,293 (36th percentile) for total stargazers, and #563,181 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #80,054/131,673.

jlcsilva/EfficientUNetPlusPlus is also tagged with popular topics, for these it's ranked: deep-learning (#6,415/8881), pytorch (#4,526/6257), segmentation (#487/683)

Other Information

jlcsilva/EfficientUNetPlusPlus has Github issues enabled, there are 7 open issues and 1 closed issue.

Homepage URL: https://arxiv.org/abs/2106.11447

All Topics

unet pytorch efficientnet segmentation unetplusplus deep-learning efficientunetplusplus medical-image-segmentation

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

2 commits on the default branch (main) since jan '22

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The only known language in this repository is Python

updated: 2025-03-01 @ 12:52am, id: 378758975 / R_kgDOFpNnPw