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Hybrid techniques for diagnosing endoscopy images for early detection of gastrointestinal disease based on fusion features
Z Ghaleb Al-Mekhlafi… - … Journal of Intelligent …, 2023 - Wiley Online Library
Gastrointestinal (GI) diseases, particularly tumours, are considered one of the most
widespread and dangerous diseases and thus need timely health care for early detection to …
widespread and dangerous diseases and thus need timely health care for early detection to …
[HTML][HTML] Automatic detection of Opisthorchis viverrini egg in stool examination using convolutional-based neural networks
T Thanchomnang, N Chaibutr, W Maleewong… - PeerJ, 2024 - peerj.com
Background Human opisthorchiasis is a dangerous infectious chronic disease distributed in
many Asian areas in the water-basins of large rivers, Siberia, and Europe. The gold …
many Asian areas in the water-basins of large rivers, Siberia, and Europe. The gold …
Development of Self-Supervised Learning with Dinov2-Distilled Models for Parasite Classification in Screening
At present, parasitic infections in humans, such as intestinal parasitic infections and soil-
transmitted helminth (STH) infection, remain a public health concern, with screening …
transmitted helminth (STH) infection, remain a public health concern, with screening …
[HTML][HTML] A multi-criteria decision analysis framework for evaluating deep learning models in healthcare research
Selecting the appropriate deep learning (DL) model for healthcare research poses a
significant challenge due to the diversity of evaluation criteria and the complex nature of …
significant challenge due to the diversity of evaluation criteria and the complex nature of …
AI in gastrointestinal disease detection: overcoming segmentation challenges with Coati optimization strategy
M Jagarajan, R Jayaraman - Evolving Systems, 2025 - Springer
Today AI helps a lot within the healthcare industry in the handling and classification of
diseases that affect people. Multiple AI-based computerized methodologies developed in …
diseases that affect people. Multiple AI-based computerized methodologies developed in …
Efficient classification techniques in classifying human intestinal parasite ova
Helminth parasites live in the human body and can cause serious health problems that will
lead to cancer and may cause death in patients. These parasitic helminths congregate in the …
lead to cancer and may cause death in patients. These parasitic helminths congregate in the …
Essential Advances in Soil-Transmitted Helminth Detection Using Machine Learning and Deep Learning: A Systematic Review.
E Rouza, F Arifin - International Journal on Advanced …, 2024 - search.ebscohost.com
Abstract Soil-Transmitted Helminths (STH) infection remains a significant global health
challenge, particularly in regions with inadequate sanitation. While precise early detection is …
challenge, particularly in regions with inadequate sanitation. While precise early detection is …
Progress and challenges for the application of machine learning for neglected tropical diseases
Neglected tropical diseases (NTDs) continue to affect the livelihood of individuals in
countries in the Southeast Asia and Western Pacific region. These diseases have been long …
countries in the Southeast Asia and Western Pacific region. These diseases have been long …
AI Methods and Algorithms for Diagnosis of Intestinal Parasites: Applications, Challenges and Future Opportunities
Artificial intelligence (AI) transforms intestinal parasite diagnosis, particularly through deep
learning models like convolutional neural networks (CNNs). This paper reviews the …
learning models like convolutional neural networks (CNNs). This paper reviews the …