tissueloc
tissueloc: Whole slide digital pathology image tissue localization - Published in JOSS (2019)
Science Score: 93.0%
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○CITATION.cff file
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Found 8 DOI reference(s) in README and JOSS metadata -
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Links to: joss.theoj.org -
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Keywords from Contributors
Repository
Whole Slide Digital Pathology Image Tissue Localization
Basic Info
- Host: GitHub
- Owner: PingjunChen
- License: mit
- Language: Python
- Default Branch: master
- Homepage: https://tissueloc.readthedocs.io
- Size: 22.2 MB
Statistics
- Stars: 45
- Watchers: 0
- Forks: 12
- Open Issues: 4
- Releases: 1
Topics
Metadata Files
README.md
tissueloc: Whole slide digital pathology image tissue localization
Please consider star this repo if you find tissueloc to be helpful for your work.
Installation
- Install OpenSlide.
$ sudo apt-get install openslide-tools - Installing Python dependencies.
$ pip install scikit-image==0.14.2 $ pip install opencv-python==4.1.2.30 $ pip install openslide-python==1.1.1 - Install tissueloc.
$ pip install tissueloc==2.1.0
Usage example
Interface
def locate_tissue_cnts(slide_path,
max_img_size=2048,
smooth_sigma=13,
thresh_val = 0.80,
min_tissue_size=10000):
""" Locate tissue contours of whole slide image
Parameters
----------
slide_path : valid slide path
The slide to locate the tissue.
max_img_size: int
Max height and width for the size of slide with selected level.
smooth_sigma: int
Gaussian smoothing sigma.
thresh_val: float
Thresholding value.
min_tissue_size: int
Minimum tissue area.
Returns
-------
cnts: list
List of all contours coordinates of tissues.
d_factor: int
Downsampling factor of selected level compared to level 0
"""
Demo
Testing slide can be downloaded from Figshare. ``` import tissueloc as tl slide_path = "../data/SoftTissue/TCGA-B9EB312E82F6.svs"
locate tissue contours with default parameters
cnts, dfactor = tl.locatetissuecnts(slidepath, maximgsize=2048, smoothsigma=13, threshval=0.80,mintissuesize=10000) ```
Documentation
Hosted in https://tissueloc.readthedocs.io, powered by readthedocs and Sphinx.
Contributing
tissueloc is an open source project and anyone is welcome to contribute. An easy way to get started is by suggesting a new enhancement on the Issues. If you have found a bug, then either report this through Issues, or even better, make a fork of the repository, fix the bug and then create a Pull Requests to get the fix into the master branch.
We would like to test this package on more diversified digital slides. Slides (low level images would be better) and their corresponding results are also very welcome as Pull Requests.
License
tissueloc is free software made available under the MIT License. For details see the LICENSE file.
Contributors
See the AUTHORS.md file for a complete list of contributors to the project.
Citing
tissueloc is published in the Journal of Open Source Software - please consider cite if it's useful for your research:
@article{chen2019tissueloc,
author = {Pingjun Chen and Lin Yang},
title = {tissueloc: Whole slide digital pathology image tissue localization},
journal = {J. Open Source Software},
volume = {4},
number = {33},
pages = {1148},
year = {2019},
url = {https://doi.org/10.21105/joss.01148},
doi = {10.21105/joss.01148}
}
Owner
- Name: Pingjun Chen
- Login: PingjunChen
- Kind: user
- Location: Houston, Texas
- Company: MD Anderson Cancer Center
- Website: www.chenpingjun.com
- Repositories: 10
- Profile: https://github.com/PingjunChen
Biomedical Researcher
JOSS Publication
tissueloc: Whole slide digital pathology image tissue localization
Authors
J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida
Tags
whole slide image digital pathology tissue localization tissue detection tissue region pyramid structureGitHub Events
Total
Last Year
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| PingjunChen | c****n@g****m | 126 |
| dependabot[bot] | 4****] | 4 |
| The Codacy Badger | b****r@c****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 2
- Total pull requests: 14
- Average time to close issues: 4 months
- Average time to close pull requests: 3 months
- Total issue authors: 2
- Total pull request authors: 4
- Average comments per issue: 2.0
- Average comments per pull request: 0.29
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 10
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- fgfmds (1)
- Doloresru (1)
Pull Request Authors
- dependabot[bot] (10)
- ajinkya-kulkarni (2)
- codacy-badger (1)
- PingjunChen (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- Pillow ==8.3.2
- numpy ==1.16.2
- opencv-python ==4.2.0.32
- openslide-python ==1.1.1
- scikit-image ==0.14.2
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- github/codeql-action/analyze v1 composite
- github/codeql-action/autobuild v1 composite
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