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README.md
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---
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license: apache-2.0
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task_categories:
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- image-classification
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- feature-extraction
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└── 1.3.6.1.4.1.14519.5.2.1.6450.4007.2906.../ (104 slices)
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```
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## Usage
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Install HoneyBee:
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```bash
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pip install honeybee-ml[all]
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```
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### Pathology — Load a whole-slide image
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```python
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from huggingface_hub import hf_hub_download
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from honeybee.loaders.Slide.slide import Slide
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from honeybee.processors.wsi import PatchExtractor
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slide_path = hf_hub_download(
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repo_id="Lab-Rasool/honeybee-samples",
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filename="sample.svs",
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repo_type="dataset",
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)
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slide = Slide(slide_path)
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slide.detect_tissue(method="otsu")
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patches = PatchExtractor(patch_size=256).extract(slide)
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print(f"Extracted {len(patches)} patches from {slide.dimensions}")
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```
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### Clinical — Process a clinical PDF
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```python
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from huggingface_hub import hf_hub_download
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from honeybee.processors import ClinicalProcessor
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pdf_path = hf_hub_download(
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repo_id="Lab-Rasool/honeybee-samples",
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filename="sample.PDF",
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repo_type="dataset",
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)
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processor = ClinicalProcessor()
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result = processor.process(pdf_path)
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print(result["entities"])
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```
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### Radiology — Download CT DICOM series
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```python
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from huggingface_hub import snapshot_download
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ct_dir = snapshot_download(
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repo_id="Lab-Rasool/honeybee-samples",
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repo_type="dataset",
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allow_patterns="CT/**",
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)
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```
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## Citation
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```bibtex
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year={2024}
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}
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```
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## License
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Apache 2.0 — see the [HoneyBee repository](https://github.com/Lab-Rasool/HoneyBee) for details.
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---
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task_categories:
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- image-classification
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- feature-extraction
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└── 1.3.6.1.4.1.14519.5.2.1.6450.4007.2906.../ (104 slices)
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```
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## Citation
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```bibtex
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Tripathi, A., Waqas, A., Schabath, M.B. et al. HONeYBEE: enabling scalable multimodal AI in
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oncology through foundation model-driven embeddings. npj Digit. Med. 8, 622 (2025).
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https://doi.org/10.1038/s41746-025-02003-4
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```
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