Published July 5, 2022
| Version 1.2.0
Software
Open
TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics
Description
Major Updates and Feature Improvements
- Adds support for Python 3.10
- Adds short description for IDARS algorithm #383
- Adds support for NGFF v0.4 OME-ZARR.
- Adds CLI for launching tile server.
- Renames
stainnorm_target()
function tostain_norm_target()
. - Removes
get_wsireader
- Replaces the custom PlattScaler in
tools/scale.py
with the regular Scikit-Learn LogisticRegression.
- Fixes bugs in UNET architecture.
- Number of channels in Batchnorm argument in the decoding path to match with the input channels.
- Padding
0
creates feature maps in the decoder part with the same size as encoder.
- Fixes linter issues and typos
- Fixes incorrect output with overlap in
predictor.merge_predictions()
andreturn_raw=True
- Thanks to @paulhacosta for raising #356, Fixed by #358.
- Fixes errors with JP2 read. Checks input path exists.
- Fixes errors with torch upgrade to 1.12.
- Adds pre-commit hooks for consistency across the repo.
- Sets up GitHub Actions Workflow.
- Travis CI will be removed in future release.
Notes
Files
TissueImageAnalytics/tiatoolbox-v1.2.0.zip
Files
(59.6 MB)
Name | Size | Download all |
---|---|---|
md5:08edf99da58ff0b44a0360930ac58583
|
59.6 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/TissueImageAnalytics/tiatoolbox/tree/v1.2.0 (URL)