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v1.0.0
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Major Updates and Feature Improvements
Adds nucleus instance segmentation base class
Adds multi-task segmentor HoVerNet+ model
Adds IDaRS pipeline
Adds SlideGraph pipeline
Adds PCam patch classification models
Adds support for stain augmentation feature
Adds classes and functions under tiatoolbox.tools.graph to enable construction of graphs in a format which can be used with PyG (PyTorch Geometric).
Add classes which act as a mutable mapping (dictionary like) structure and enables efficient management of annotations. (#135 )
Adds example notebook for adding advanced models
Adds classes which can generate zoomify tiles from a WSIReader object.
Adds WSI viewer using Zoomify/WSIReader API (#212 )
Adds README to example page for clarity
Adds support to override or specify mpp and power
Changes to API
Replaces models.controller API with models.engine
Replaces CNNPatchPredictor with PatchPredictor
Bug Fixes and Other Changes
Fixes Fix filter_coordinates read wrong resolutions for patch extraction
For PatchPredictor
ioconfig will supersede everything
if ioconfig is not provided
If model is pretrained (defined in pretrained_model.yaml )
Use the yaml ioconfig
Any other input patch reading arguments will overwrite the yaml ioconfig (at the same keyword).
If model is not defined, all input patch reading arguments must be provided else exception will be thrown.
Improves performance of mask based patch extraction
Development related changes
Improve tests performance for Travis runs
Adds feature detection mechanism to detect the platform and installed packages etc.
On demand imports for some libraries for performance
Improves performance of mask based patch extraction
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