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Description

Image Analysis and Machine Learning Platform for Innovation in Diabetic Retinopathy Screening

The North of Portugal Health Administration is implementing a mass screening for diabetic retinopathy (DR). The goal is to perform an eye exam on about 75% of identified diabetics. The goal of the SCREEN-DR consortium is to create a distributed and automatic screening platform for DR, based on PACS management, Machine Learning and Image Analysis, enabling an immediate response from health carers, allowing accurate follow-up strategies, and fostering technological innovation. The main objectives are: automatically assessing image quality, automatically detecting and grading diabetic retinopathy, which can be mild non-proliferative, moderate/severe non-proliferative and proliferative.

Details

Details

  • Acronym

    SCREEN-DR
  • Start

    01st April 2016
  • Global Budget

    552.054,00 €
  • State

    Completed
  • Effective End

    31st December 2020
  • End

    31st December 2020
  • Responsible

    Aurélio Campilho
  • Financing

    333.058,00 €
  • Funded by

Team
002

Associated Centres

C-BER

Centre

Biomedical Engineering Research

CITE

Centre

Innovation, Technology and Entrepreneurship