An efficient deep learning approach to automatic glaucoma detection using optic disc and optic cup localization
Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …
[HTML][HTML] Computer-Aided Diagnosis Systems for Automatic Malaria Parasite Detection and Classification: A Systematic Review
Malaria is a disease that affects millions of people worldwide with a consistent mortality rate.
The light microscope examination is the gold standard for detecting infection by malaria …
The light microscope examination is the gold standard for detecting infection by malaria …
Parasitic egg recognition using convolution and attention network
N AlDahoul, HA Karim, MA Momo, FIF Escobar… - Scientific Reports, 2023 - nature.com
Intestinal parasitic infections (IPIs) caused by protozoan and helminth parasites are among
the most common infections in humans in low-and-middle-income countries. IPIs affect not …
the most common infections in humans in low-and-middle-income countries. IPIs affect not …
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 …
malaria disease continues to pose a significant threat to global health. As the severity of …
A lightweight deep learning architecture for malaria parasite-type classification and life cycle stage detection
Malaria is an endemic in various tropical countries. The gold standard for disease detection
is to examine the blood smears of patients by an expert medical professional to detect …
is to examine the blood smears of patients by an expert medical professional to detect …
An optimized features selection approach based on Manta Ray Foraging Optimization (MRFO) method for parasite malaria classification
J Amin, M Sharif, GA Mallah… - Frontiers in Public Health, 2022 - frontiersin.org
Malaria is a serious and lethal disease that has been reported by the World Health
Organization (WHO), with an estimated 219 million new cases and 435,000 deaths globally …
Organization (WHO), with an estimated 219 million new cases and 435,000 deaths globally …
Classifying parasitized and uninfected malaria red blood cells using convolutional-recurrent neural networks
AA Alonso-Ramírez, CH García-Capulín… - IEEE …, 2022 - ieeexplore.ieee.org
This work aims to classify malaria infected red blood cells from those uninfected using two
deep learning approaches. Plasmodium parasite transmitted by a female anopheles's …
deep learning approaches. Plasmodium parasite transmitted by a female anopheles's …
HSV-Net: a custom cnn for malaria detection with enhanced color representation
Malaria disease should be considered and handled as a potential restorative catastrophe.
One of the most challenging tasks in the field of microscopy image processing is due to …
One of the most challenging tasks in the field of microscopy image processing is due to …
[PDF][PDF] RESEARCH ARTICLE An automated malaria cells detection from thin blood smear images using deep learning
D Sukumarran, K Hasikin, AS Mohd Khairuddin… - Tropical …, 2023 - msptm.org
Timely and rapid diagnosis is crucial for faster and proper malaria treatment planning.
Microscopic examination is the gold standard for malaria diagnosis, where hundreds of …
Microscopic examination is the gold standard for malaria diagnosis, where hundreds of …
Classification of cells infected with the malaria parasite with resnet architectures
Malaria is a disease that causes a parasite called plasmodium to be transmitted to humans
as a result of the bite of female anopheles' mosquitoes. Malaria is detected by examining the …
as a result of the bite of female anopheles' mosquitoes. Malaria is detected by examining the …