Development of an automated artificial intelligence-based system for urogenital schistosomiasis diagnosis using digital image analysis techniques and a robotized microscope.

• Main Authors: Carles Rubio Maturana (Author), Allisson Dantas de Oliveira (Author), Francesc Zarzuela (Author), Edurne Ruiz (Author), Elena Sulleiro (Author), Alejandro Mediavilla (Author), Patricia Martínez-Vallejo (Author), Sergi Nadal (Author), Tomàs Pumarola (Author), Daniel López-Codina (Author), Alberto Abelló (Author), Elisa Sayrol (Author), Joan Joseph-Munné (Author)
• Format: Book
• Published: Public Library of Science (PLoS), 2024-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

<h4>Background</h4>Urogenital schistosomiasis is considered a Neglected Tropical Disease (NTD) by the World Health Organization (WHO). It is estimated to affect 150 million people worldwide, with a high relevance in resource-poor settings of the African continent. The gold-standard diagn...