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Automated disease triage for the real world

Grant number: 19/05018-1
Support type:Scholarships abroad - Research
Effective date (Start): August 15, 2019
Effective date (End): June 29, 2020
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Eduardo Alves Do Valle Junior
Grantee:Eduardo Alves Do Valle Junior
Host: Matthieu Cord
Home Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Local de pesquisa : Université Paris-Sorbonne (Paris 4), France  

Abstract

Our main goal is to advance the state of the art in computer-aided diagnosis. We will focus on two diseases - melanoma, and diabetic retinopathy - but we expect that the techniques developed will generalize to a wide range of possible image-based diagnostics. Automated triage/screening offers a promising solution to the disparity between available healthcare professionals and increasing incidence of degenerative diseases in an aging population. Automated triage/screening is a valuable resource for primary health care professionals: nurses and general practitioners, assisting them in the difficult decision of who should be referred to the specialist doctor, and among those referred, which cases are the most urgent.