Deep learning in the browser for medical images.
These models are finetuned with interactive points and bounding boxes. The models are then quantized to small sizes for inference in the browser.
This app aims to reduce the constraints that hold back the deployment of deep learning models for medical images.
- Upload checkpoint file and config file with preprocessing steps
- Convert to onnx format
- Download onnx model
- Upload onnx model
- Upload test image
- Run inference interactively within image
- Get automated annotations from model
- Interactively correct annotations
- Download annotations
✨ Demo
Install dependencies
yarn install
then start the application
yarn start
Run tests
yarn run test
👤 Thuy Dao
- Github: @iishiishii
Contributions, issues and feature requests are welcome!
Feel free to check issues page.
Give a ⭐️ if this project helped you!