kyegomez/SimpleUnet
An simple implementation of Unet because all the implementations i've seen are wayy tooo complicated.
This helps researchers, medical professionals, and image analysts accurately identify and outline specific features within images. You feed it a medical or scientific image, and it outputs a segmented version where different parts are clearly distinguished. This tool is ideal for anyone working with biological or other detailed imagery who needs to precisely isolate structures like cells, tumors, or anomalies.
No commits in the last 6 months.
Use this if you need a straightforward way to segment images, such as separating cells from background in microscopy or delineating tumors in medical scans.
Not ideal if you are looking for an out-of-the-box application with a graphical interface, as this requires some programming knowledge.
Stars
8
Forks
1
Language
Python
License
MIT
Category
Last pushed
Nov 12, 2024
Commits (30d)
0
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