Performance validation of deep-learning-based approach in stool examination

Performance validation of deep-learning-based approach in stool examination

Abstract Background Human intestinal parasitic infections (IPI) pose a significant global health issue caused by parasitic helminths and protozoa, affecting around 3.5 billion people worldwide, with more than 200,000 deaths annually. Despite advancements in molecular methods with higher sensitivity...

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Main Authors: Kristal Dale Felimon Corpuz, Teera Kusolsuk, Benjamaporn Wongphan, Putza Chonsawat, Kaung Myat Naing, Siridech Boonsang, Veerayuth Kittichai, Chia-Kwung Fan, Santhad Chuwongin, Dorn Watthanakulpanich
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Parasites & Vectors
Subjects:
Intestinal parasitic infection
Self-supervised learning
Deep learning
Automation
Online Access:https://doi.org/10.1186/s13071-025-06878-w
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https://doi.org/10.1186/s13071-025-06878-w

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