A Deep learning pipeline for segmentation of fluorescent labels in microscopy images
Project description
DeepFLaSH2
Official repository of DeepFLasH - a deep learning pipeline for segmentation of fluorescent labels in microscopy images.
Install
pip install deepflash2
How to use
Links to tutorial Notebooks
Model Library
This list contains download links to the weights of the selected models as well as an example of their corresponding training images and masks.
You can select and apply these models within our Jupyter Notebook.
Acronym
A Deep-learning pipeline for Fluorescent Label Segmentation that learns from Human experts
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
deepflash2-0.0.4.tar.gz
(19.3 kB
view hashes)
Built Distribution
deepflash2-0.0.4-py3-none-any.whl
(22.0 kB
view hashes)
Close
Hashes for deepflash2-0.0.4-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d714ab60845b8256f2bb01c201a0dceaccba68ccc3d1e71b8ba4d82abe308a15 |
|
| MD5 | b6ea940f46c704ba0aed89272222b703 |
|
| BLAKE2b-256 | 5e8c5b24ee84c23c14e2202efa7e816df28075aa9611ab00bc8f9b6249106e04 |
