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Automated Disease Triage for the Real World

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


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.

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
VALLE, EDUARDO; FORNACIALI, MICHEL; MENEGOLA, AFONSO; TAVARES, JULIA; BITTENCOURT, FLAVIA VASQUES; LI, LIN TZY; AVILA, SANDRA. Data, depth, and design: Learning reliable models for skin lesion analysis. Neurocomputing, v. 383, p. 303-313, . (19/05018-1, 17/16246-0)
DE OLIVEIRA, EDUARDO; BINDA, JOMARA; VALLE, EDUARDO; LOPES, RENATO. Paperclickers: Affordable solution for classroom response systems. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, . (19/05018-1)

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