ImperialCollegeLondon/ReCoDE-Segmentation-Lab
View on GitHubBuild 3D image segmentation algorithms from scratch in Python. Implement thresholding and watershed methods on real 3D particle and biomedical imaging data, explore algorithmic logic, visualization, and reproducible coding practices—bridging fundamentals and real-world applications.
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- License
- BSD-3-Clause
- Last GitHub push
- Mar 11, 2026
- Latest indexed
- Sep 17, 2026
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Difficulty 5/5 Over a week Newbie friendliness 25/100
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
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question
ImperialCollegeLondon/ReCoDE-Segmentation-Lab#33 · 1 assignee ·
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frontend
Difficulty 4/5 3-5 days Newbie friendliness 30/100
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frontend
Difficulty 4/5 3-5 days Newbie friendliness 32/100
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Difficulty 2/5 1-3 hours Newbie friendliness 48/100
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Difficulty 5/5 Over a week Newbie friendliness 30/100
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ImperialCollegeLondon/ReCoDE-Segmentation-Lab#12 · 1 assignee ·
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ImperialCollegeLondon/ReCoDE-Segmentation-Lab#8 · 1 assignee ·
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ImperialCollegeLondon/ReCoDE-Segmentation-Lab#7 · 1 assignee ·