Introduction to DeepReg Demos

DeepReg offers multiple built-in dataset loaders to support real-world clinical scenarios, in which images may be paired, unpaired or grouped. Images may also be labeled with segmented regions of interest to assist registration.

A typical workflow to develop a registration network using DeepReg includes:

Besides the tutorials, a series of DeepReg Demos are provided to showcase a wide range of applications with real clinical image and label data. These applications range from ultrasound, CT and MR images, covering many clinical specialties such as neurology, urology, gastroenterology, oncology, respiratory and cardiovascular diseases.

Each DeepReg Demo provides a step-by-step instruction to explain how different scenarios can be implemented with DeepReg. All data sets used are open-accessible. Pre-trained models with numerical and graphical inference results are also available.

Note

DeepReg Demos are provided to demonstrate functionalities in DeepReg. Although effort has been made to ensure these demos are representative of real-world applications, the implementations and the results are not peer-reviewed or tested for clinical efficacy. Substantial further adaptation and development may be required for any potential clinical adoption.

Paired Images

The following DeepReg Demos provide examples of using paired images.

Unpaired Images

The following DeepReg Demos provide examples of using unpaired images.

Grouped Images

The following DeepReg Demos provide examples of using grouped images.

Classical Registration

The following DeepReg Demos provide examples of using classical registration methods.