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2025
An artificial intelligence-based approach for human parasite egg segmentation and classification
Healthcare Analytics
2025
Comparative analysis of resource-efficient YOLO models for rapid and accurate recognition of intestinal parasitic eggs in stool microscopy
Intelligence-Based Medicine
2025
A dedicated deep learning workflow for automatic Fasciola hepatica and Calicophoron daubneyi egg detection using the Kubic FLOTAC microscope
International Journal for Parasitology
2025
Performance validation of deep-learning-based approach in stool examination
Parasites & Vectors
2025
2025 International Conference on Innovation in Artificial Intelligence and Internet of Things (AIIT)
2025
Precise detection of Eimeria oocysts in sheep: a deep learning model based on microscopic images
Parasites & Vectors
2025
ParasitoBank dataset for diagnosing intestinal parasitism: Helminths and protozoa in coprological samples
Data in Brief
2025
Real-Time American Sign Language Interpretation Using Deep Learning and Keypoint Tracking
Sensors
2025
Automated detection of pinworm parasite eggs using YOLO convolutional block attention module for enhanced microscopic image analysis
Frontiers in Bioengineering and Biotechnology
2025
Deep learning-based automated detection and multiclass classification of soil-transmitted helminths and Schistosoma mansoni eggs in fecal smear images
Scientific Reports
2025
Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology
Journal of Microscopy
2024
Evaluation of alarm notification of artificial intelligence in automated analyzer detection of parasites
Medicine
2024
Towards automatic farrowing monitoring—A Noisy Student approach for improving detection performance of newborn piglets
PLOS ONE
2024
Development of a Machine Learning Model for the Classification of Enterobius vermicularis Egg
Journal of Imaging
2024
Automatic detection of Opisthorchis viverrini egg in stool examination using convolutional-based neural networks
PeerJ
2024
Identification of veterinary and medically important blood parasites using contrastive loss-based self-supervised learning
Veterinary World
2024
Effective Laboratory Diagnosis of Parasitic Infections of the Gastrointestinal Tract: Where, When, How, and What Should We Look For?
Diagnostics
2024
Validation of Vetscan Imagyst®, a diagnostic test utilizing an artificial intelligence deep learning algorithm, for detecting strongyles and Parascaris spp. in equine fecal samples
Parasites & Vectors
2024
Improving faster R-CNN generalization for intestinal parasite detection using cycle-GAN based data augmentation
Discover Applied Sciences
2024
Automating parasite egg detection: insights from the first AI-KFM challenge
Frontiers in Artificial Intelligence
2023
2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE)
2023
Communications in Computer and Information Science
2023
Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings
Journal of Medical Imaging
2023
Improved YOLOv4-tiny based on attention mechanism for skin detection
PeerJ Computer Science
2023
2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE)
2023
Detection of Parasitic Eggs Using Deep Learning: A Survey
Kristu Jayanti Journal of Computational Sciences (KJCS)
2023
Automatic detection of Cryptosporidium in optical microscopy images using YOLOv5x: a comparative study
Biochemistry and Cell Biology
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