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Related papers: Intestinal Parasites Classification Using Deep Bel…

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Intestinal parasites are responsible for several diseases in human beings. In order to eliminate the error-prone visual analysis of optical microscopy slides, we have investigated automated, fast, and low-cost systems for the diagnosis of…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 D. Osaku , C. F. Cuba , Celso T. N. Suzuki , J. F. Gomes , A. X. Falcão

IPIs caused by protozoan and helminth parasites are among the most common infections in humans in LMICs. They are regarded as a severe public health concern, as they cause a wide array of potentially detrimental health conditions.…

Computer Vision and Pattern Recognition · Computer Science 2022-08-04 Nouar AlDahoul , Hezerul Abdul Karim , Shaira Limson Kee , Myles Joshua Toledo Tan

Leishmaniasis is considered a neglected disease that causes thousands of deaths annually in some tropical and subtropical countries. There are various techniques to diagnose leishmaniasis of which manual microscopy is considered to be the…

Computer Vision and Pattern Recognition · Computer Science 2019-01-01 Marc Górriz , Albert Aparicio , Berta Raventós , Verónica Vilaplana , Elisa Sayrol , Daniel López-Codina

Intestinal parasitic infection leads to several morbidities to humans worldwide, especially in tropical countries. The traditional diagnosis usually relies on manual analysis from microscopic images which is prone to human error due to…

Computer Vision and Pattern Recognition · Computer Science 2021-07-05 Thanaphon Suwannaphong , Sawaphob Chavana , Sahapol Tongsom , Duangdao Palasuwan , Thanarat H. Chalidabhongse , Nantheera Anantrasirichai

Insect-pests significantly impact global agricultural productivity and quality. Effective management involves identifying the full insect community, including beneficial insects and harmful pests, to develop and implement integrated pest…

Gastrointestinal diseases pose significant healthcare chall-enges as they manifest in diverse ways and can lead to potential complications. Ensuring precise and timely classification of these diseases is pivotal in guiding treatment choices…

Computer Vision and Pattern Recognition · Computer Science 2023-07-18 Dibya Nath , G. M. Shahariar

Accurate insect pest recognition is significant to protect the crop or take the early treatment on the infected yield, and it helps reduce the loss for the agriculture economy. Design an automatic pest recognition system is necessary…

Computer Vision and Pattern Recognition · Computer Science 2021-07-27 Hieu T. Ung , Huy Q. Ung , Binh T. Nguyen

Crohn's disease, one of two inflammatory bowel diseases (IBD), affects 200,000 people in the UK alone, or roughly one in every 500. We explore the feasibility of deep learning algorithms for identification of terminal ileal Crohn's disease…

Machine Learning · Computer Science 2019-09-04 Robert Holland , Uday Patel , Phillip Lung , Elisa Chotzoglou , Bernhard Kainz

Current gastric cancer (GCa) risk systems are prone to errors since they evaluate a visual estimation of intestinal metaplasia percentages in histopathology images of gastric mucosa to assign a risk. This study presents an automated method…

Tuberculosis (TB) is a contagious bacterial airborne disease, and is one of the top 10 causes of death worldwide. According to the World Health Organization (WHO), around 1.8 billion people are infected with TB and 1.6 million deaths were…

Image and Video Processing · Electrical Eng. & Systems 2020-12-29 Chirath Dasanayakaa , Maheshi Buddhinee Dissanayake

Recent studies show that the microbial communities inhabiting the human intestine can have profound impact on our well-being and health. However, we have limited understanding of the mechanisms that control this complex ecosystem. Based on…

Quantitative Methods · Quantitative Biology 2014-07-15 Leo Lahti , Jarkko Salojärvi , Anne Salonen , Marten Scheffer , Willem M. de Vos

Manual examination of faecal smear samples to identify the existence of parasitic eggs is very time-consuming and can only be done by specialists. Therefore, an automated system is required to tackle this problem since it can relate to…

Point of care diagnostics using microscopy and computer vision methods have been applied to a number of practical problems, and are particularly relevant to low-income, high disease burden areas. However, this is subject to the limitations…

Computer Vision and Pattern Recognition · Computer Science 2016-08-11 John A. Quinn , Rose Nakasi , Pius K. B. Mugagga , Patrick Byanyima , William Lubega , Alfred Andama

Insect pests continue to bring a serious threat to crop yields around the world, and traditional methods for monitoring them are often slow, manual, and difficult to scale. In recent years, deep learning has emerged as a powerful solution,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-11 Muhammad Hassam Ejaz , Muhammad Bilal , Usman Habib , Muhammad Attique , Tae-Sun Chung

In this paper, we present our approach for the 2018 Medico Task classifying diseases in the gastrointestinal tract. We have proposed a system based on global features and deep neural networks. The best approach combines two neural networks,…

This paper presents a comprehensive comparative model analysis on a novel gastrointestinal medical imaging dataset, comprised of 4,000 endoscopic images spanning four critical disease classes: Diverticulosis, Neoplasm, Peritonitis, and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Walid Houmaidi , Mohamed Hadadi , Youssef Sabiri , Yousra Chtouki

Purpose - Functional bowel diseases, including irritable bowel syndrome, chronic constipation, and chronic diarrhea, are some of the most common diseases seen in clinical practice. Many patients describe a range of triggers for altered…

Machine Learning · Computer Science 2019-03-27 David Hachuel , Akshay Jha , Deborah Estrin , Alfonso Martinez , Kyle Staller , Christopher Velez

Malaria is considered one of the deadliest diseases in today world which causes thousands of deaths per year. The parasites responsible for malaria are scientifically known as Plasmodium which infects the red blood cells in human beings.…

Computer Vision and Pattern Recognition · Computer Science 2020-06-22 Aayush Kumar , Sanat B Singh , Suresh Chandra Satapathy , Minakhi Rout

Every year, plant parasitic nematodes, one of the major groups of plant pathogens, cause a significant loss of crops worldwide. To mitigate crop yield losses caused by nematodes, an efficient nematode monitoring method is essential for…

Computer Vision and Pattern Recognition · Computer Science 2024-05-01 Zhipeng Yuan , Nasamu Musa , Katarzyna Dybal , Matthew Back , Daniel Leybourne , Po Yang

Tuberculosis persists as a global health crisis, especially in resource-limited populations and remote regions, with more than 10 million individuals newly infected annually. It stands as a stark symbol of inequity in public health.…

Image and Video Processing · Electrical Eng. & Systems 2025-03-12 Neel Patel , Alexander Wong , Ashkan Ebadi
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