CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
This project aims to develop a coding algorithm for efficient storage and transmission of whole-slide pathology images. By reducing data size without loss of information, the algorithm will enhance the accessibility of digital pathology, facilitating better diagnosis and treatment of diseases like cancer.
Traditionally, pathology slides are handled by cutting a tissue sample into paper-thin sections, and staining them, so to bring out regions of interest (RoIs).
Pathologists then put these thin sections on a glass slide to be analyzed under a microscope.
Recent advances on whole-slide digital scanners have made possible the digitization of pathology slides, thus allowing storing them as digital images.
Consequently, traditional analysis techniques that rely on pathologists looking under a microsc…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
