🆕 Add GrandQC tissue detection model

[Jiaqi-Lv]

This PR adds GrandQC tissue detection (Unet++) model to TIAToolBox models. GrandQC Original Github.

Tasks

• Re-host GrandQC model weights on TIA Hugging Face
• Update pretrained_model.yaml
• Update requirements.txt
• Define GrandQC model architecture
• Add tests
• Add example usage

I added segmentation-models-pytorch to the requirements, this is necessary because otherwise we would have to re-define the UNet++ architecture. (My cell detection model (KongNet) and tissue segmentation model (from PUMA Challenge) also uses some modules from this library). I think this is a very useful library.

[codecov]

Codecov Report

❌ Patch coverage is 79.06977% with 9 lines in your changes missing coverage. Please review.
✅ Project coverage is 94.65%. Comparing base (b542c9a) to head (5c5bfc4).

Files with missing lines	Patch %	Lines
tiatoolbox/models/architecture/grandqc.py	79.06%	8 Missing and 1 partial ⚠️

Additional details and impacted files

@@                    Coverage Diff                     @@
##           dev-define-engines-abc     #965      +/-   ##
==========================================================
- Coverage                   94.72%   94.65%   -0.08%     
==========================================================
  Files                          73       74       +1     
  Lines                        9235     9278      +43     
  Branches                     1208     1209       +1     
==========================================================
+ Hits                         8748     8782      +34     
- Misses                        452      460       +8     
- Partials                       35       36       +1     

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[Copilot]

Pull Request Overview

This PR integrates the GrandQC tissue detection model into TIAToolBox, adding a UNet++ based tissue segmentation capability trained at 10 microns per pixel resolution. The implementation leverages the segmentation-models-pytorch library to avoid reimplementing the UNet++ architecture.

• Adds GrandQC tissue detection model architecture and pretrained weights
• Integrates model with existing tissue masking functionality
• Adds comprehensive test coverage and example usage

Reviewed Changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 3 comments.

Show a summary per file

File	Description
tiatoolbox/models/architecture/grandqc.py	Defines the TissueDetectionModel class with UNet++ architecture and custom preprocessing/postprocessing
tiatoolbox/data/pretrained_model.yaml	Adds GrandQC model configuration and fixes IOConfig class references across multiple models
tests/models/test_arch_grandqc.py	Implements unit tests for model creation, weight loading, and inference
requirements/requirements.txt	Adds segmentation-models-pytorch dependency
tiatoolbox/wsicore/wsireader.py	Integrates GrandQC masker into tissue_mask method with 10mpp resolution handling

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[Copilot]

Pull Request Overview

Copilot reviewed 4 out of 4 changed files in this pull request and generated 3 comments.

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