kamalkraj/DATA-SCIENCE-BOWL-2018
DATA-SCIENCE-BOWL-2018 Find the nuclei in divergent images to advance medical discovery
This project helps medical researchers and biologists automate the process of identifying cell nuclei in diverse microscopic images. By taking raw image data, it produces segmented images highlighting individual nuclei, which can significantly speed up disease research. This tool is for scientists working with medical imaging who need to efficiently quantify or analyze cell structures.
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Use this if you need to quickly and automatically detect and outline cell nuclei across a variety of biological image types to advance medical research or discovery.
Not ideal if you require highly precise, production-ready nucleus segmentation for clinical diagnostics without further refinement or validation.
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92
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74
Language
Jupyter Notebook
License
GPL-3.0
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Last pushed
Jan 30, 2018
Commits (30d)
0
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