SEE-INSIGHT

The SEE-Insight Team is developing image understanding tools which focus on common workflows used in scientific image understanding for applications in engineering, medical imaging, biology, etc. The goal is to develop tools that are more than just a manual annotation system. As the scientist annotates their images, the tools will take their annotations (starting from the very first image) and use machine learning to search the "algorithm space" to try and identify candidate algorithms based on their specified workflow. If a good candidate algorithm is found, then the tools will start making suggestions to the researcher. In the worst case, using just the tools will take no more time than scientists would need to annotate the images manually; the result will be an annotated dataset which they can use to conduct their science or to feed into a more traditional ML system. However, in the best case, a good candidate algorithm can be automatically identified, that can help speed up some,..