The Customer Problem

Enable visual search, classification and sorting of image artifacts and similar images.

Images of hearts contain certain visual elements that are diagnostic to a variety of conditions. A visual search tool that was able to locate and compare similar visual elements and overall images was needed.

Our Solution

We trained a group of deep learning neural networks with a large body of imaging data. The combined outputs were then used as input for another contextually trained neural network to identify and automatically label related anatomical-based visual elements along with clinically relevant image correlations. The result is a natural language enabled visual search tool that in real time can identify a wide variety of anatomical irregularities in newly obtained imaging data.