Cxr8 Explorer

Mapping the Latent Space of Patient Geometry

The CXR8 dataset is a collection of chest x-ray images that has been produced by the NIH Clinical Center. It includes a total of 220,000 grayscale images, with a resolution of 1024x1024 pixels. The images have been labeled as either normal or abnormal, with abnormalities ranging from common respiratory diseases such as pneumonia and tuberculosis, to other conditions such as cancer and cardiac abnormalities.

Cxr8Explorer is an educational application that allows users to view individual chest x-ray images, as well as to browse and filter the images based on various criteria such as image quality, patient age, and the presence of specific abnormalities.   It includes a model that allows navigation of the latent space of patient geometries, using our "anat-o-mixer" control.

Cxr8Explorer on the Windows Store 

Visualization vs. Quantitative Imaging

As an example of how visualization of latent spaces can be used to assist clinical judgement, trend graphs for motion management.

The issue with QI is that clinical data is needed...