Automated Disease Triage for the Real World

• Grant number: 19/05018-1
• Support Opportunities: Scholarships abroad - Research
• Start date: August 15, 2019
• End date: 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
• Institution abroad: 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.

Scientific publications

(6)

(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)

DE OLIVEIRA, EDUARDO; BINDA, JOMARA; VALLE, EDUARDO; LOPES, RENATO. Paperclickers: Affordable solution for classroom response systems. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, v. 28, n. 6, p. 16-pg., 2020-08-27. (19/05018-1)

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, MAR 28 2020. (19/05018-1, 17/16246-0)

BISSOTO, ALCEU; VALLE, EDUARDO; AVILA, SANDRA; IEEE COMP SOC. Debiasing Skin Lesion Datasets and Models? Not So Fast. 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), v. N/A, p. 10-pg., 2020-01-01. (13/08293-7, 17/16246-0, 19/05018-1)

DE OLIVEIRA, EDUARDO; BINDA, JOMARA; VALLE, EDUARDO; LOPES, RENATO. Paperclickers: Affordable solution for classroom response systems. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, AUG 2020. (19/05018-1)

RIBEIRO, VINICIUS; AVILA, SANDRA; VALLE, EDUARDO; IEEE COMP SOC. Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation. 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), v. N/A, p. 10-pg., 2020-01-01. (17/16246-0, 19/05018-1)

DOUILLARD, ARTHUR; VALLE, EDUARDO; OLLION, CHARLES; ROBERT, THOMAS; CORD, MATTHIEU; IEEE COMP SOC. Insights from the Future for Continual Learning. 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGITION WORKSHOPS (CVPRW 2021), v. N/A, p. 10-pg., 2021-01-01. (19/05018-1)