Skip to content

Official repository of CVPR 2024 paper "EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation"

active 2024-05-122026-05-24 (UTC)

Complete coverage26,460 / 26,460 hourly files (100%) · 2 absent upstream2023-08-152026-08-21 (UTC)
Events
448
Pushes
71
Pull requests
0
Issues
40
Stars
283
Forks
15

Activity over time

Daily event counts in the loaded window

Line chart, 743 days from 2024-05-12 to 2026-05-24. Pushes: 71 total, peak 15 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 40 total, peak 4 in a day. Comments: 37 total, peak 4 in a day. Stars: 283 total, peak 4 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Recent activity

Latest issues, pull requests and releases

  • Issue#27mostafij-rahman2026-01-12 20:25
    About the result of polyp segmentation
  • Issue comment#27mostafij-rahman2026-01-12 20:25
    About the result of polyp segmentation
  • Issue comment#23mostafij-rahman2025-12-24 21:52
    about ACDC
  • Issue#12mostafij-rahman2025-09-06 16:30
    EUCB and efficiency of your model
  • Issue comment#20mostafij-rahman2025-09-06 16:25
    Forbinary segmentation, loss weighted
  • Issue comment#26Tkrismile2025-09-05 05:02
    Why does the model record poor performance in test code?
  • Issue comment#29mostafij-rahman2025-09-05 03:57
    About the dice of ColonDB
  • Issue comment#26Tkrismile2025-09-05 02:17
    Why does the model record poor performance in test code?
  • Issue#29SuChenHong2025-07-07 02:43
    About the dice of ColonDB
  • Issue comment#16qinkaixin1232025-06-17 06:04
    No module named 'segmentation_mask_overlay'
  • Issue comment#16mrbird6432025-06-04 11:25
    No module named 'segmentation_mask_overlay'
  • Issue comment#13zhen84212025-05-23 05:40
    Something about training file,.
  • Issue comment#19wangru10262025-05-13 13:59
    Final or best result
  • Issue comment#26mostafij-rahman2025-05-06 17:48
    Why does the model record poor performance in test code?
  • Issue#26mostafij-rahman2025-05-06 17:48
    Why does the model record poor performance in test code?
  • Issue comment#26wangru10262025-05-05 13:58
    Why does the model record poor performance in test code?
  • Issue#28waner19982025-05-02 05:24
    Questions about the multi-scale {0.75,1.0,1.25} training strategy
  • Issue comment#11wangru10262025-04-27 01:49
    Testing
  • Issue comment#19wangru10262025-04-27 01:48
    Final or best result
  • Issue#27slll122025-04-23 19:01
    About the result of polyp segmentation
  • Issue comment#13laoda5552025-04-18 13:05
    Something about training file,.
  • Issue#2510dutel2025-04-10 08:01
    A
  • Issue comment#23hjklearn2025-03-28 09:07
    about ACDC
  • Issue comment#21LebronMX-A2025-03-24 02:05
    About the para and flops
  • Issue#26Oppo-sit2025-03-20 01:48
    Why does the model record poor performance in test code?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 283 stars here means stars gained during the window, not the repo's star count.