Model: bioptimus/H-optimus-0
Author: bioptimus
Pipeline: image-feature-extraction
Library: timm
Tags: timm, pytorch, image-feature-extraction, pathology, histology, medical imaging, self-supervised learning, vision transformer, foundation model, license:apache-2.0, region:us
Card metadata: tags: image-feature-extraction, timm, pathology, histology, medical imaging, self-supervised learning, vision transformer, foundation model
library_name: timm
license: apache-2.0
extra_gated_prompt: - This model and associated code are released under the Apache-2.0 license. 
- 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.
extra_gated_fields: Full name (first and last): text
Type of Affiliation: type: select
options: Academia, Life Sciences, Healthcare, Technology, Other
Current affiliation: text
Current and official institutional email: text
Main use-case: type: select
options: Models benchmarking on various tasks, Biomarker Discovery, Diagnostics, Pathology workflows acceleration (cell & tissue segmentation etc), label: Other
value: other
I am interested in receiving updates from Bioptimus: type: checkbox
optional: yes
Likes: 70 | All-time downloads: 755605
Created: 2024-07-30 17:31:15