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 …

[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 …

Development of Self-Supervised Learning with Dinov2-Distilled Models for Parasite Classification in Screening

N Pinetsuksai, V Kittichai, R Jomtarak… - 2023 15th …, 2023 - ieeexplore.ieee.org
At present, parasitic infections in humans, such as intestinal parasitic infections and soil-
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

N Drissi, H El-Kassabi, MA Serhani - Decision Analytics Journal, 2024 - Elsevier
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 …

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 …

Efficient classification techniques in classifying human intestinal parasite ova

NAA Khairudin, CC Lim, ASA Nasir… - Journal of …, 2022 - jtec.utem.edu.my
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 …

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 …

Progress and challenges for the application of machine learning for neglected tropical diseases

CY Khew, R Akbar, NM Assaad - arxiv preprint arxiv:2212.01027, 2022 - arxiv.org
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 …

AI Methods and Algorithms for Diagnosis of Intestinal Parasites: Applications, Challenges and Future Opportunities

MH Kenneth, T Joseph, N Rose - East African Journal of …, 2024 - journals.eanso.org
Artificial intelligence (AI) transforms intestinal parasite diagnosis, particularly through deep
learning models like convolutional neural networks (CNNs). This paper reviews the …