Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon.

• Main Authors: Brice Meulah (Author), Prosper Oyibo (Author), Pytsje T Hoekstra (Author), Paul Alvyn Nguema Moure (Author), Moustapha Nzamba Maloum (Author), Romeo Aime Laclong-Lontchi (Author), Yabo Josiane Honkpehedji (Author), Michel Bengtson (Author), Cornelis Hokke (Author), Paul L A M Corstjens (Author), Temitope Agbana (Author), Jan Carel Diehl (Author), Ayola Akim Adegnika (Author), Lisette van Lieshout (Author)
• Format: Book
• Published: Public Library of Science (PLoS), 2024-02-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

<h4>Introduction</h4>Schistosomiasis is a significant public health concern, especially in Sub-Saharan Africa. Conventional microscopy is the standard diagnostic method in resource-limited settings, but with limitations, such as the need for expert microscopists. An automated digital mic...