Model: Owkin-Bioptimus/histoplus
Author: Owkin-Bioptimus
Tags: histology, pathology, pytorch, vision, cell-segmentation, cell-detection, vit, en, arxiv:2508.09926, license:other, region:us
Card metadata: license: other
license_name: cc-by-nc-nd-4.0
license_link: https://github.com/owkin/histoplus/blob/main/LICENSE.md
tags: histology, pathology, pytorch, vision, cell-segmentation, cell-detection, vit
language: en
metrics: panoptic_quality, detection_quality, segmentation_quality, f1_score
extra_gated_prompt: - This model and associated code are released under the [CC-BY-NC-ND 4.0 license](https://creativecommons.org/licenses/by-nc-nd/4.0/) and may only be used for non-commercial, academic research purposes with proper attribution. 
- Any commercial use, sale, or other monetization of the HistoPLUS model and its derivatives, which include models trained on outputs from the HistoPLUS model or datasets created from the HistoPLUS model, is prohibited and requires prior approval. 
- By downloading the model, you attest that all information (affiliation, research use) is correct and up-to-date. Downloading the model requires prior registration on Hugging Face and agreeing to the terms of use. By downloading this model, you agree not to distribute, publish or reproduce a copy of the model. If another user within your organization wishes to use the HistoPLUS model, they must register as an individual user and agree to comply with the terms of use. Users may not attempt to re-identify the deidentified data used to develop the underlying model. 
- This model is provided “as-is” without warranties of any kind, express or implied. This model has not been reviewed, certified, or approved by any regulatory body, including but not limited to the FDA (U.S.), EMA (Europe), MHRA (UK), or other medical device authorities. Any application of this model in healthcare or biomedical settings must comply with relevant regulatory requirements and undergo independent validation. Users assume full responsibility for how they use this model and any resulting consequences. The authors, contributors, and distributors disclaim any liability for damages, direct or indirect, resulting from model use. Users are responsible for ensuring compliance with data protection regulations (e.g., GDPR, HIPAA) when using it in research that involves patient data.
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options: Industry, Academia, Other
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options: Models Benchmarking, Biomarker Discovery, Diagnostics, Pathology Workflows Acceleration, Other
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Likes: 13 | All-time downloads: 20
Created: 2025-08-20 08:59:44