[PDF][PDF] A systematic review on automatic detection of plasmodium parasite
Plasmodium parasite is the main cause of malaria which has taken many lives. Some
research works have been conducted to detect the Plasmodium parasite automatically. This …
research works have been conducted to detect the Plasmodium parasite automatically. This …
A combination of optimized threshold and deep learning-based approach to improve malaria detection and segmentation on PlasmoID dataset
HA Nugroho, R Nurfauzi - FACETS, 2023 - facetsjournal.com
Malaria is a life-threatening parasitic disease transmitted to humans by infected female
Anopheles mosquitoes. Early and accurate diagnosis is crucial to reduce the high mortality …
Anopheles mosquitoes. Early and accurate diagnosis is crucial to reduce the high mortality …
[PDF][PDF] An Intelligent Classification System for Trophozoite Stages in Malaria Species
Malaria is categorised as a dangerous disease that can cause fatal in many countries.
Therefore, early detection of malaria is essential to get rapid treatment. The malaria …
Therefore, early detection of malaria is essential to get rapid treatment. The malaria …
Robust Image Processing Framework for Intelligent Multi-Stage Malaria Parasite Recognition of Thick and Thin Smear Images
Malaria is a pressing medical issue in tropical and subtropical regions. Currently, the
manual microscopic examination remains the gold standard malaria diagnosis method …
manual microscopic examination remains the gold standard malaria diagnosis method …
Malaria parasite segmentation using U-Net: Comparative study of loss functions
JB Abraham - Communications in Science and Technology, 2019 - cst.kipmi.or.id
The convolutional neural network is commonly used for classification. However,
convolutional networks can also be used for semantic segmentation using the fully …
convolutional networks can also be used for semantic segmentation using the fully …
Saturation channel extraction of HSV color space for segmenting Plasmodium parasite
HA Nugroho, RD Goratama… - IOP Conference Series …, 2021 - iopscience.iop.org
Malaria is one of the dangerous diseases in the world. Despite it has been decreased every
year, the number of patients for this disease is still reasonably a lot. Technical problems that …
year, the number of patients for this disease is still reasonably a lot. Technical problems that …
Detection of malaria parasites in thin red blood smear using a segmentation approach with U-Net
A Nautre, HA Nugroho, EL Frannita… - 2020 3rd international …, 2020 - ieeexplore.ieee.org
Malaria is infected by Plasmodium parasite which was a plague in many countries in the
world. An alternative way to decrease the number of deaths caused by malaria parasites …
world. An alternative way to decrease the number of deaths caused by malaria parasites …
Optimization of General Threshold Value for Preprocessing in Plasmodium Parasites Detection
HA Nugroho, R Nurfauzi - JOIV: International Journal on Informatics …, 2023 - joiv.org
The high mortality rate of malaria makes it a severe disease that spreads throughout all-
region by infected female Anopheles mosquitoes, especially in tropical countries. Accurate …
region by infected female Anopheles mosquitoes, especially in tropical countries. Accurate …
[PDF][PDF] Robust Image Processing Framework for Intelligent Multi-Stage Malaria Parasite Recognition of Thick and Thin Smear Images. Diagnostics 2023, 13, 511
Malaria is a pressing medical issue in tropical and subtropical regions. Currently, the
manual microscopic examination remains the gold standard malaria diagnosis method …
manual microscopic examination remains the gold standard malaria diagnosis method …