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

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