[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 …
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 …
Micro-network-based deep convolutional neural network for human activity recognition from realistic and multi-view visual data
In the recent past, deep convolutional neural network (DCNN) has been used in majority of
state-of-the-art methods due to its remarkable performance in number of computer vision …
state-of-the-art methods due to its remarkable performance in number of computer vision …
Superpixelgridmasks data augmentation: Application to precision health and other real-world data
A novel approach of data augmentation based on irregular superpixel decomposition is
proposed. This approach called SuperpixelGridMasks permits to extend original image …
proposed. This approach called SuperpixelGridMasks permits to extend original image …
FiCRoN, a deep learning-based algorithm for the automatic determination of intracellular parasite burden from fluorescence microscopy images
G Juez-Castillo, B Valencia-Vidal, LM Orrego… - Medical Image …, 2024 - Elsevier
Protozoan parasites are responsible for dramatic, neglected diseases. The automatic
determination of intracellular parasite burden from fluorescence microscopy images is a …
determination of intracellular parasite burden from fluorescence microscopy images is a …
[HTML][HTML] Machine learning for predicting Plasmodium liver stage development in vitro using microscopy imaging
CF Otesteanu, R Caldelari, V Heussler… - Computational and …, 2024 - Elsevier
Malaria, a significant global health challenge, is caused by Plasmodium parasites. The
Plasmodium liver stage plays a pivotal role in the establishment of the infection. This study …
Plasmodium liver stage plays a pivotal role in the establishment of the infection. This study …
Deep learning-based cell detection and extraction in thin blood smears for malaria diagnosis
Malaria is a major health threat caused by Plasmod-ium parasites that infect the red blood
cells. Two predominant types of Plasmodium parasites are Plasmodium vivax (P. vivax) and …
cells. Two predominant types of Plasmodium parasites are Plasmodium vivax (P. vivax) and …
Diagnosing malaria with AI and image processing
MK Dath, N Nazir - … on Innovative Practices in Technology and …, 2023 - ieeexplore.ieee.org
This research seeks to investigate the possibility of using deep learning strategies in the
process of diagnosing malaria, a virus that affects billions of people all over the world …
process of diagnosing malaria, a virus that affects billions of people all over the world …
Staining-Independent Malaria Parasite Detection and Life Stage Classification in Blood Smear Images.
T Xu, N Theera-Umpon… - … Sciences (2076-3417), 2024 - search.ebscohost.com
Malaria is a leading cause of morbidity and mortality in tropical and sub-tropical regions.
This research proposed a malaria diagnosis system based on the you only look once …
This research proposed a malaria diagnosis system based on the you only look once …
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 …