### Install torchstain

Source: https://github.com/eidoslab/torchstain/blob/main/README.md

Install the torchstain library using pip. To install with specific backends, use 'torchstain[torch]' or 'torchstain[tf]'. The numpy backend is included by default.

```bash
pip install torchstain
```

--------------------------------

### Macenko Normalization with PyTorch Backend

Source: https://github.com/eidoslab/torchstain/blob/main/README.md

Example of using the Macenko normalizer with a PyTorch backend. This involves loading target and source images, defining a transformation, fitting the normalizer to the target image, and then normalizing the source image.

```python
import torch
from torchvision import transforms
import torchstain
import cv2

target = cv2.cvtColor(cv2.imread("./data/target.png"), cv2.COLOR_BGR2RGB)
to_transform = cv2.cvtColor(cv2.imread("./data/source.png"), cv2.COLOR_BGR2RGB)

T = transforms.Compose([
    transforms.ToTensor(),
    transforms.Lambda(lambda x: x*255)
])

normalizer = torchstain.normalizers.MacenkoNormalizer(backend='torch')
normalizer.fit(T(target))

t_to_transform = T(to_transform)
norm, H, E = normalizer.normalize(I=t_to_transform, stains=True)
```

--------------------------------

### TorchStain BibTeX Citation

Source: https://github.com/eidoslab/torchstain/blob/main/README.md

BibTeX entry for citing the torchstain software. Includes author, title, month, year, publisher, version, DOI, and URL.

```bibtex
@software{barbano2022torchstain,
  author       = {Carlo Alberto Barbano and André Pedersen},
  title        = {EIDOSLAB/torchstain: v1.2.0-stable},
  month        = aug,
  year         = 2022,
  publisher    = {Zenodo},
  version      = {v1.2.0-stable},
  doi          = {10.5281/zenodo.6979540},
  url          = {https://doi.org/10.5281/zenodo.6979540}
}
```

--------------------------------

### UniToPatho Dataset BibTeX Citation

Source: https://github.com/eidoslab/torchstain/blob/main/README.md

BibTeX entry for citing the UniToPatho dataset. Includes title, authors, booktitle, pages, year, and organization.

```bibtex
@inproceedings{barbano2021unitopatho,
  title={UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading},
  author={Barbano, Carlo Alberto and Perlo, Daniele and Tartaglione, Enzo and Fiandrotti, Attilio and Bertero, Luca and Cassoni, Paola and Grangetto, Marco},
  booktitle={2021 IEEE International Conference on Image Processing (ICIP)},
  pages={76--80},
  year={2021},
  organization={IEEE}
}
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.