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AndreiiArhire/LightMIS

LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder

#Image recognition
Visit GitHub
Python
33
1
1 contributors
website
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How fast AndreiiArhire/LightMIS is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Nov 2 – Nov 11, 2026

Stars +1 in 10 days

01
1

Forks +1 in 10 days

01
1

Merged PRs 0 in 10 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Nov 2Nov 4Nov 6Nov 8Nov 10
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Mon, Nov 2, 2026+0+10
Tue, Nov 3, 2026+0+00
Wed, Nov 4, 2026+0+00
Thu, Nov 5, 2026+1+00
Fri, Nov 6, 2026+0+00
Sat, Nov 7, 2026+0+00
Sun, Nov 8, 2026+0+00
Mon, Nov 9, 2026+0+00
Tue, Nov 10, 2026+0+00
Wed, Nov 11, 2026+0+00
Total+1+10
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Nov 51 post
    • LightMIS is an interesting edge-segmentation model—but parameter count alone doesn’t prove deployability. The paper reports 0.131M parameters and 53.31–138.31 ms median latency on an Arm Mali-G52 MC2…

      Read full on X, posted by @TheReproGuy

      @TheReproGuy · x.com

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