WSI Tissue Tiler
This Python package provides tools for efficient processing of Whole Slide Images (WSIs) in the SVS format. It allows you to extract smaller tiles from large WSIs, making it easier to analyze and process these images for various tasks like tissue identification and classification.
Features
- Tile Extraction: Divide large WSIs into smaller tiles of a specified size.
- Tissue Identification (Optional): Utilize a pre-trained model to identify and isolate tissue regions within the tiles (requires additional dependencies).
Installation
You can install wsi-tissue-tiler using pip:
pip install wsi-tissue-tiler
1 maintainer
Metadata
1 maintainer
Release files for wsi-tissue-tiler 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| wsi_tissue_tiler-0.1.0.tar.gz | 280.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| wsi_tissue_tiler-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 561.6 kB
Release files / wsi_tissue_tiler-0.1.0.tar.gz
| Download URL | wsi_tissue_tiler-0.1.0.tar.gz |
|---|---|
| Size | 280.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / wsi_tissue_tiler-0.1.0-py3-none-any.whl
| Download URL | wsi_tissue_tiler-0.1.0-py3-none-any.whl |
|---|---|
| Size | 281.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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