# Volume Electron Microscropy DENoising (vEMden)
This package performs automatic (unsupervised) denoising of volume electron microscopy images. Two deep learning architectures are available: <ul> <li>Noise Reconstruction & Remove Network (NRRN)</li> <li>DenoiseNet</li> </ul>
For installation, more information/details and full examples with code and data, visit: https://www.thibault.biz/Research/VolumeEM/vEMden/vEMden.html
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Release files for vEMden 0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vEMden-0.2.tar.gz | 6.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vEMden-0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.5 kB
Release files / vEMden-0.2.tar.gz
| Download URL | vEMden-0.2.tar.gz |
|---|---|
| Size | 6.2 kB |
| Tags | Source |
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Release files / vEMden-0.2-py3-none-any.whl
| Download URL | vEMden-0.2-py3-none-any.whl |
|---|---|
| Size | 6.3 kB |
| Tags | Python 3 |
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twine/4.0.1 CPython/3.9.13
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