Intelligent diagnostic model for malaria parasite detection and classification using imperative inception-based capsule neural networks

G Madhu, AW Mohamed, S Kautish, MA Shah, I Ali - Scientific Reports, 2023 - nature.com
Malaria is an acute fever sickness caused by the Plasmodium parasite and spread by
infected Anopheles female mosquitoes. It causes catastrophic illness if left untreated for an …

Machine and deep learning methods in identifying malaria through microscopic blood smear: A systematic review

D Sukumarran, K Hasikin, ASM Khairuddin… - … Applications of Artificial …, 2024 - Elsevier
Despite the persistency of World Health Organization to eliminate malaria since 1987,
malaria disease continues to pose a significant threat to global health. As the severity of …

Coarse-grained model of whole blood hemolysis and morphological analysis of erythrocyte population under non-physiological shear stress flow environment

Z Xu, C Wang, F He, P Hao, X Zhang - Physics of Fluids, 2023 - pubs.aip.org
Erythrocyte dynamics and hemorheology exist inextricably connection. In order to further
explore the population dynamics of erythrocytes in non-physiological shear stress flow and …

[PDF][PDF] Revolutionizing malaria diagnosis: deep learning-powered detection of parasite-infected red blood cells

MJ Hoque, MS Islam, M Khaliluzzaman… - … Journal of Electrical …, 2024 - researchgate.net
Malaria is a significant global health issue, responsible for the highest rates of morbidity and
mortality globally. This paper introduces a very effective and precise convolutional neural …

Malaria Parasite Detection using 2D CNN

P Tejakumarreddy, M Sunil… - 2024 International …, 2024 - ieeexplore.ieee.org
Malaria continues to be a major worldwide health issue, especially in areas with poor
access to medical treatment. This project presents a novel approach to malaria parasite …

A Review on Computational Methods Based on Deep Learning and Transfer Learning Techniques for Malaria Detection

AM Zakariya, MF Adak - 2024 10th International Conference on …, 2024 - ieeexplore.ieee.org
Malaria continues to pose a significant health challenge worldwide, especially in most of
under developing countries where most often there is limited healthcare resources. A death …

A Comprehensive Review of Machine Learning Techniques for Malaria Diagnosis from Blood Samples

M Malarvel - 2023 IEEE Engineering Informatics, 2023 - ieeexplore.ieee.org
This study paper provides an overview of the use of machine learning techniques for malaria
diagnosis. The article looks at a variety of machine learning algorithms, such as supervised …

Malaria Disease Prediction using Faster RCNN

S Mathupriya - 2023 Intelligent Computing and Control for …, 2023 - ieeexplore.ieee.org
Malaria is a disease caused by Plasmodium parasites that remains a major threat to global
health. It affects 200 million people and causes 400,000 deaths each year. The Plasmodium …

[PDF][PDF] The Role of Data Science in Malaria Disease Detection

W Rahhal - academia.edu
This article explores the use of data science techniques, including machine learning and
deep learning, in the detection of Malaria disease using red blood cells, also by building …