SPIDER-Skin Model

Model Description

SPIDER-skin model is a deep learning model trained for patch-level pathology classification, specifically for skin. It is part of the SPIDER dataset initiative, which provides a large, high-quality, multi-organ pathology dataset with expert-annotated labels.

If you would like to support, sponsor, or obtain a commercial license for the SPIDER data and models, please contact us at [email protected].

Model Sources

Repository: https://github.com/HistAI/SPIDER
Paper: SPIDER: A Comprehensive Multi-Organ Supervised Pathology Dataset and Baseline Models

How to Get Started with the Model

Model works with 1120×1120 patches. Use the following code snippet to load and use the model:

from transformers import AutoModel, AutoProcessor
from PIL import Image

model = AutoModel.from_pretrained("histai/SPIDER-skin-model", trust_remote_code=True)
processor = AutoProcessor.from_pretrained("histai/SPIDER-skin-model", trust_remote_code=True)

image = Image.open("path_to_image.png")
inputs = processor(images=image, return_tensors="pt")
outputs = model(**inputs)
print(outputs.predicted_class_names)

Training Data

The model is trained on the SPIDER-skin dataset, a subset of the SPIDER dataset. The dataset includes:

Class	Central Patches
Actinic keratosis	4936
Apocrine glands	6739
Basal cell carcinoma	6446
Carcinoma in situ	5478
Collagen	6262
Epidermis	7449
Fat	6525
Follicle	8343
Inflammation	5856
Invasive melanoma	9101
Kaposi’s sarcoma	4778
Keratin	6418
Melanoma in situ	4545
Mercel cell carcinoma	5968
Muscle	6051
Necrosis	6842
Nerves	4735
Nevus	8937
Sebaceous gland	6639
Seborrheic keratosis	10311
Solar elastosis	7613
Squamous cell carcinoma	6051
Vessels	7673
Wart	6158

Total Counts:

159,854 central patches
2,696,987 total patches (including context patches)
3,784 total slides used for annotation

Results

Organ	Accuracy	Precision	F1 Score
Skin	0.940	0.936	0.938

License

The model is licensed under CC BY-NC 4.0 and is for research use only.

Citation

If you use this model, please cite the following:

@misc{nechaev2025spidercomprehensivemultiorgansupervised,
      title={SPIDER: A Comprehensive Multi-Organ Supervised Pathology Dataset and Baseline Models}, 
      author={Dmitry Nechaev and Alexey Pchelnikov and Ekaterina Ivanova},
      year={2025},
      eprint={2503.02876},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/abs/2503.02876}, 
}

More Information

To explore other models and the SPIDER dataset you can visit the Hugging Face HistAI page or GitHub of the project.

Contacts

Authors: Dmitry Nechaev, Alexey Pchelnikov, Ekaterina Ivanova
Email: [email protected], [email protected], [email protected]

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SPIDER-skin-model

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