https://github.com/CSBDeep/CSBDeep
Image restoration for fluorescence microscopy
https://github.com/CSBDeep/CSBDeep
Last synced: 5 months ago
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Image restoration for fluorescence microscopy
- Host: GitHub
- URL: https://github.com/CSBDeep/CSBDeep
- Owner: CSBDeep
- License: bsd-3-clause
- Created: 2018-06-05T15:03:32.000Z (almost 7 years ago)
- Default Branch: main
- Last Pushed: 2024-04-22T14:20:06.000Z (12 months ago)
- Last Synced: 2024-04-22T14:21:35.739Z (12 months ago)
- Language: Python
- Homepage:
- Size: 14 MB
- Stars: 261
- Watchers: 21
- Forks: 81
- Open Issues: 22
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Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
- awesome-biological-image-analysis - CSBDeep - A deep learning toolbox for microscopy image restoration and analysis. (Image restoration and quality assessment)
README
[](https://pypi.org/project/csbdeep)
[](https://anaconda.org/conda-forge/csbdeep)
[](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3ATest)
[/badge.svg)](https://github.com/CSBDeep/CSBDeep/actions?query=workflow%3A%22Test+%28PyPI%29%22)# CSBDeep – a toolbox for CARE
This is the CSBDeep Python package, which provides a toolbox for content-aware restoration of fluorescence microscopy images (CARE), based on deep learning via Keras and TensorFlow.
Please see the documentation at http://csbdeep.bioimagecomputing.com/doc/.