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Applying Faster R-CNN for Object Detection on Malaria Images.
Hung, Jane; Lopes, Stefanie C P; Nery, Odailton Amaral; Nosten, Francois; Ferreira, Marcelo U; Duraisingh, Manoj T; Marti, Matthias; Ravel, Deepali; Rangel, Gabriel; Malleret, Benoit; Lacerda, Marcus V G; Rénia, Laurent; Costa, Fabio T M; Carpenter, Anne E.
Afiliação
  • Hung J; Massachusetts Institute of Technology.
  • Lopes SCP; Instituto Leônidas e Maria Deane, Fundação Oswaldo Cruz (FIOCRUZ); Fundação de Medicina Tropical Dr. Heitor Vieira Dourado, Gerência de Malária.
  • Nery OA; Universidade de São Paulo.
  • Nosten F; Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford.
  • Ferreira MU; Institute of Biomedical Sciences, University of São Paulo.
  • Duraisingh MT; Harvard T.H. Chan School of Public Health (HSPH).
  • Marti M; Wellcome Trust Center for Molecular Parasitology, University of Glasgow.
  • Ravel D; Harvard T.H. Chan School of Public Health (HSPH).
  • Rangel G; Harvard T.H. Chan School of Public Health (HSPH).
  • Malleret B; Department of Microbiology & Immunology, Yong Loo Lin School of Medicine, National University of Singapore; Singapore Immunology Network (SIgN), Agency for Science & Technology.
  • Lacerda MVG; Fundação de Medicina Tropical Dr. Heitor Vieira Dourado, Gerência de Malária.
  • Rénia L; Singapore Immunology Network (SIgN), Agency for Science & Technology (ASTAR).
  • Costa FTM; Department of Genetics, Evolution, Microbiology and Immunology, University of Campinas.
  • Carpenter AE; Imaging Platform, Broad Institute of Harvard and MIT.
Article em En | MEDLINE | ID: mdl-34938593

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Conf Comput Vis Pattern Recognit Workshops Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Conf Comput Vis Pattern Recognit Workshops Ano de publicação: 2017 Tipo de documento: Article