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feature-extractor
diamandislabii/feature-extractor
feature-extractor is a machine learning model from diamandislabii. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for tf-keras. The card lists the license as apache-2.0.
This model was trained on 75 different classes and is the (PREVIOUSLY USED) backbone for the HAVOC workflow. The full class list can be found in the inference.json file
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At a glance
- Library
- tf-keras
- License
- apache-2.0
- Access
- Public
- Created
- Nov 4, 2024
- Updated
- Nov 19, 2025
- SHA
- fffb907e
Model card
From the Hugging Face model README
This model was trained on 75 different classes and is the (PREVIOUSLY USED) backbone for the HAVOC workflow. The full class list can be found in the inference.json file
It is part of the following papers:
- Faust et al. Intelligent feature engineering and ontological mapping of brain tumour histomorphologies by deep learning
- Faust et al. Unsupervised subgrouping of intra- and inter- tumoral heterogeneity using deep learning feature representations
- Dent & Faust et al. HAVOC: Small-scale histomic mapping of biodiversity across entire tumor specimens using deep neural networks
It can be run interactively on https://www.pathologyreports.ai or https://www.codido.co/marketplace/browse?RepoInfo%5Bquery%5D=havoc
- Library
- tf-keras
- License
- apache-2.0
- Created
- Nov 4, 2024
- Updated
- Nov 19, 2025