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Schistoscope: An Automated Microscope with Artificial Intelligence for Detection of Schistosoma haematobium Eggs in Resource-Limited Settings.
Oyibo, Prosper; Jujjavarapu, Satyajith; Meulah, Brice; Agbana, Tope; Braakman, Ingeborg; van Diepen, Angela; Bengtson, Michel; van Lieshout, Lisette; Oyibo, Wellington; Vdovine, Gleb; Diehl, Jan-Carel.
  • Oyibo P; Delft Center for Systems and Control, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.
  • Jujjavarapu S; ANDI Centre of Excellence for Malaria Diagnosis, College of Medicine, University of Lagos, Lagos 101017, Nigeria.
  • Meulah B; Department of Sustainable Design Engineering, Faculty of Industrial Design Engineering, Delft University of Technology, 2628 CE Delft, The Netherlands.
  • Agbana T; Department of Parasitology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
  • Braakman I; Centre de Recherches Medicales des Lambaréné, CERMEL, Lambarene BP 242, Gabon.
  • van Diepen A; Delft Center for Systems and Control, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.
  • Bengtson M; Department of Sustainable Design Engineering, Faculty of Industrial Design Engineering, Delft University of Technology, 2628 CE Delft, The Netherlands.
  • van Lieshout L; Department of Parasitology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
  • Oyibo W; Department of Parasitology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
  • Vdovine G; Department of Parasitology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
  • Diehl JC; ANDI Centre of Excellence for Malaria Diagnosis, College of Medicine, University of Lagos, Lagos 101017, Nigeria.
Micromachines (Basel) ; 13(5)2022 Apr 19.
Article en En | MEDLINE | ID: mdl-35630110

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Año: 2022 Tipo del documento: Article