Kiemen-Lab/CODAvision
CODAvision - open source medical image labeling tool
CODAvision is a tool for researchers and medical professionals that automates the precise outlining of structures within biomedical images. You provide your microscopy images and pre-existing annotations, and it helps you train a machine learning model to automatically identify and segment specific features, producing detailed segmentation masks for analysis. This is ideal for scientists, pathologists, or anyone needing to quantify or analyze features in large sets of medical images.
Use this if you routinely analyze biomedical images and need a streamlined way to automatically identify and segment specific regions of interest based on your own annotated data.
Not ideal if you do not have access to an NVIDIA GPU (for Windows/Linux) or Apple Silicon (for macOS) with sufficient VRAM, as performance will be significantly degraded.
Stars
14
Forks
4
Language
Python
License
MIT
Category
Last pushed
Mar 04, 2026
Commits (30d)
0
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