The system uses an algorithm that automates the process of obtaining quantitative data on the condition of blood vessels. Ksenia Sanarova, developer of the LETI Biotechnical Systems Department, noted that to work with the tool, it is enough to download the vessel database and wait for the automatic evaluation. Previously, assessment was done manually, requiring significant time and highly qualified doctors.
To train the neural network, the scientists used 609 microphotographs of pulmonary vessels provided by the National Center for Medical Research. VA Almazova. After successful validation, the system achieved a segmentation accuracy of 97%. Sanarova added that it is planned to develop a special application that will simplify the use of the algorithm in laboratories in the future.
Source: Ferra
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
