Siemens Healthineers

Patch-CLIP Embedding Model

Python research project from the Siemens-Healthineers GitHub org that extends the CLIP architecture with patch-level embeddings for image understanding. Relevant to medical imaging research pipelines built on the Frontier and syngo.via OpenApps stack.

Patch-CLIP Embedding Model is one of 14 APIs that Siemens Healthineers publishes on the APIs.io network.

Tagged areas include Machine Learning, Embeddings, Medical Imaging, Research, and Open Source.

GitHub

Other Resources

🔗
GitHub
https://github.com/Siemens-Healthineers/patch-clip

API entry from apis.yml

apis.yml Raw ↑ 
aid: siemens-healthineers:patch-clip
name: Patch-CLIP Embedding Model
description: Python research project from the Siemens-Healthineers GitHub org that extends the CLIP architecture
  with patch-level embeddings for image understanding. Relevant to medical imaging research pipelines
  built on the Frontier and syngo.via OpenApps stack.
humanURL: https://github.com/Siemens-Healthineers/patch-clip
tags:
- Machine Learning
- Embeddings
- Medical Imaging
- Research
- Open Source
- Python
properties:
- type: GitHub
  url: https://github.com/Siemens-Healthineers/patch-clip