nadeemlab/ImPartial
Interactive deep learning whole-cell segmentation and thresholding using partial annotations
This tool helps scientists efficiently segment and analyze small, repeatable objects like cells, neurons, or vessels in biological images, especially from newer imaging techniques or when correcting existing AI results. You input your biological images and some basic scribbled annotations, and it outputs precise, high-quality segmentations of individual objects. It's designed for researchers, biologists, or lab technicians working with microscopy or medical imaging who need accurate object boundaries.
Use this if you need to generate high-quality cell or vessel annotations from scratch with minimal effort or refine existing automated segmentation results in biological images.
Not ideal if you already have large, perfectly annotated datasets for your imaging modality and don't require interactive refinement or partial annotation workflows.
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42
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3
Language
Jupyter Notebook
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Last pushed
Jan 01, 2026
Commits (30d)
0
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