DataScience@UB designs and prototype a machine that includes an intelligent vision system based on semantic segmentation through convolutional neural networks to automate the classification of skins and leather.
Diagnosis aid system based on computer vision
Intestinal motility disorders (contractions), which are usually characterised by rhythmic changes and uncoordinated movements of the intestinal tract, affect up to 30% of the population and can have major implications for their quality of life.
GCD@UB, the company Given Imaging and gastroenterology specialists from Vall d’Hebron University Hospital developed a system for diagnosing intestinal motility disorders based on images taken by a wireless endoscope camera that describes a range of visual patterns, both static and dynamic, from which an objective diagnosis can be made.
From a medical point of view, the research focused on identifying new factors that are symptomatic of the disease based on the visual analysis of images. From a technology perspective, the innovation lies in the development of an automatic recognition system that instantly extracts visual diagnostic patterns from a large number of images, and the creation of an automatic decision-making system to assist doctors with their diagnoses. This development finally paves the way for replacing the current methodology, which causes patient discomfort, with a more comfortable alternative that presents improved diagnostic capabilities.
We have won a new competition with the Cartographic and Geological Institute of Catalonia, to apply deep learning techniques in the detection of changes in the network of infrastructures and constructions in the territory with the aim of automating the process of elaboration of the Topographic map of Catalonia.
Joint development with Vall Hebron Hospital of a scalable medical diagnosis solution based on artificial intelligence tools for CorporateHealth International ApS.