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Computational Methods for Automated Analysis of Malaria Parasite Using Blood Smear Images: Recent Advances
2022
Computational Intelligence and Neuroscience
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extraction and selection, and (v) classification for the detection of malaria parasites using blood smear images. ...
and intra-observer variations; (ii) microbiologists to take the second opinion from the automated computational methods for effective diagnosis of malaria; and (iii) finally, several issues remain addressed ...
and labeling). e stepwise process of automated computational methods for malaria parasite diagnosis is shown in Figure 6 . ...
doi:10.1155/2022/3626726
pmid:35449742
pmcid:PMC9017520
fatcat:vrfmr5iderfrvlakaqg5nysrhe
Image analysis and machine learning for detecting malaria
2018
Translational Research: The Journal of Laboratory and Clinical Medicine
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Readers will find the different techniques listed in tables, with the relevant articles cited next to them, for both thin and thick blood smear images. ...
This article gives an overview of these techniques and discusses the current developments in image analysis and machine learning for microscopic malaria diagnosis. ...
We refer readers in particular to the following surveys for additional information about the background of automatic malaria diagnosis and the image processing and machine learning methods used for automated ...
doi:10.1016/j.trsl.2017.12.004
pmid:29360430
pmcid:PMC5840030
fatcat:csn4ygmtjza5xoowv2e5dl3a64
Methodical Approaches of Image Analysis on Malarial Parasites Identification and Categorization in Thick Blood Smears-A Review
2018
Journal of excellence in Computer Science and Engineering
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In order to fill the gap, it is aimed to provide a brief study of a collection of methods and systems especially via image processing in which these concepts are prioritized. ...
Real time in vivo optical imaging of infected cells based on automated computer vision provides possible insights about the plasmodium species that could be applied to treat and prevent malaria. ...
COMPUTER ASSISTED DETECTION Most of the reviewed methods are based on thick blood smears; but a few focus on thin films too. ...
doi:10.18831/djcse.in/2018021002
fatcat:da7jrrjfcnez3o6st54amkeyrm
A Malaria Diagnostic Tool Based on Computer Vision Screening and Visualization of Plasmodium falciparum Candidate Areas in Digitized Blood Smears
2014
PLoS ONE
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Microscopy is the gold standard for diagnosis of malaria, however, manual evaluation of blood films is highly dependent on skilled personnel in a time-consuming, error-prone and repetitive process. ...
The system provides a novel method for blood smear screening with a significantly reduced need for visual examination and has a potential to increase the throughput in malaria diagnostics. ...
Acknowledgments We thank Professor Seppo Meri and Dr. Ville Holmberg for providing the samples. ...
doi:10.1371/journal.pone.0104855
pmid:25144549
pmcid:PMC4140733
fatcat:kckpopg5ejcc5pbfkobcoxgizu
Erythrocyte Features for Malaria Parasite Detection in Microscopic Images of Thin Blood Smear: A Review
2016
International Journal of Interactive Multimedia and Artificial Intelligence
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Microscopic image analysis of blood smear plays a very important role in characterization of erythrocytes in screening of malaria parasites. ...
The characteristics feature of erythrocyte changes due to malaria parasite infection. The microscopic features of the erythrocyte include morphology, intensity and texture. ...
Automated image processing method for the diagnosis and classification of malaria infected erythrocyte using relative size and eccentricity features on thin blood smears had been proposed [8] . ...
doi:10.9781/ijimai.2016.426
fatcat:juuglmsdobhgdi5yg2k3zuw65a
A Review of Automatic Malaria Parasites Detection and Segmentation in Microscopic Images
2016
Anti-Infective Agents
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Methods: Various image processing and analysis approaches already proposed on the literature for the detection and segmentation of malaria parasites in blood smear microscopic images were collected and ...
Conclusion: This work collects and reviews various image processing and analysis approaches already proposed on the literature for the detection and segmentation of malaria parasites in blood smear microscopic ...
NSRF) and the European Regional Development Fund (ERDF) from European Union through the project ICT4DCC (ICT4D Competence Center) NORTE-07-0124-FEDER-000042. ...
doi:10.2174/221135251401160302121107
fatcat:ykk54mnlffa25j3kvmhr3xmpjq
Texture Based Classification of Malaria Parasites from Giemsa-Stained Thin Blood Films
2020
ECTI Transactions
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Quantification of parasitemia is an important part of a microscopic malaria diagnosis. Giemsa-stained thin blood smear is the gold standard method for detecting malaria parasite enumeration. ...
The pre-processing is applied for image conversion and enhancement. ...
Aiyada Aroonsri from the National Center for Genetic Engineering and Biotechnology (BIOTEC) for providing insightful suggestions and dataset. ...
doi:10.37936/ecti-eec.2020181.208115
fatcat:bgnpqf3j4bfmfdnubmjk37vpgi
Automated detection and staging of malaria parasites from cytological smears using convolutional neural networks
2021
Biological Imaging
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Microscopic examination of blood smears remains the gold standard for laboratory inspection and diagnosis of malaria. ...
We sought to develop an automated image analysis method to improve accuracy and standardization of smear inspection that retains capacity for expert confirmation and image archiving. ...
Automated methods can speed up the evaluation of thin blood smears; however, the bottleneck of image acquisition remains. ...
doi:10.1017/s2633903x21000015
pmid:35036920
pmcid:PMC8724263
fatcat:3zqw2w2uxva2xo4yr5k6fidovi
Malaria Screener: a smartphone application for automated malaria screening
2020
BMC Infectious Diseases
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The mobile app utilizes high-resolution cameras and computing power of modern smartphones to screen both thin and thick blood smear images for P. falciparum parasites. ...
Background Light microscopy is often used for malaria diagnosis in the field. However, it is time-consuming and quality of the results depends heavily on the skill of microscopists. ...
Kamolrat Silamut and Urmila Sampathkumar for helping with the data acquisition and annotation. ...
doi:10.1186/s12879-020-05453-1
pmid:33176716
fatcat:o6kpugegzvc5xnwcyc3omrtalu
Automated detection and staging of malaria parasites from cytological smears using convolutional neural networks
[article]
2021
medRxiv
pre-print
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Microscopic examination of blood smears remains the gold standard for diagnosis and laboratory studies with malaria. ...
input images of Giemsa-stained thin blood smears. ...
Microscopy inspection of Giemsa-stained thin blood smears on glass slides has been used in the diagnosis of malaria and monitoring of malaria cultures in laboratory settings for >100 years. ...
doi:10.1101/2021.01.26.21250284
fatcat:dj6mlw5qwjdq5nxvibd3sqdnty
An Automated Microscopic Malaria Parasite Detection System Using Digital Image Analysis
2021
Diagnostics
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Rapid diagnosis and parasitemia measurement is crucial for management of malaria. Microscopic examination of peripheral blood (PB) smears is the gold standard for malaria detection. ...
The automated microscopic malaria parasite detection system offers several advantages over conventional microscopy for rapid diagnosis and parasite density monitoring of malaria. ...
Previous studies have mostly focused on the development of a computer vision algorithm to analyze the microscopic images of Giemsa-stained thin or thick blood smears for malaria diagnosis [17] [18] [19 ...
doi:10.3390/diagnostics11030527
pmid:33809642
fatcat:bc7gdpodhjbernwkrh2xgqgrz4
RBCs and Parasites Segmentation from Thin Smear Blood Cell Images
2012
International Journal of Image Graphics and Signal Processing
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The designed system successfully detects malaria parasites and RBC cells in thin smear image. ...
Manually examine the blood smear for the detection of malaria parasite consumes lot of time for trend pathologists. ...
BACKROUND There are two types of blood smear available for the detection of Malaria parasites that is thin and thick smear. The selection of thick and thin film is very important. ...
doi:10.5815/ijigsp.2012.10.08
fatcat:mq335vdh6vfqzhjkwksxpcyxxu
Identification of Parasite Presence on Thin Blood Splotch Images
2020
International Journal of Current Research and Review
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The authors are also grateful to authors / editors / publishers of all those articles, journals and books from where the literature for this article has been reviewed and discussed. ...
Acknowledgement: Authors acknowledge the immense help received from the scholars whose articles are cited and included in references of this manuscript. ...
The latest research examines the diagnosis and degree of automated malaria parasitemia by image analyses and computational vision techniques in thin blood streak digital images. ...
doi:10.31782/ijcrr.2020.121928
fatcat:nz22h4mzaza2xbiywswl6i6eai
Comparison of CNNs and SVM for Detection of Activation in Malaria Cell Images
2019
Natural and Applied Sciences Journal
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Pattern recognition, classification techniques on blood smear images of Malaria and Malaria automatic diagnosis are among the subjects of research. ...
Thick and thin film microscopic examination of smears taken from blood is the most reliable method for diagnosis. ...
In another study, to classify all features on malaria parasites in thin blood smear MLP method is used and achieves accuracy of 87.8% (Nugroho, et al., 2015) . ...
doi:10.38061/idunas.632709
fatcat:ee7jf4pszrhndjfihsmnzzglvu
Computer vision for microscopy diagnosis of malaria
2009
Malaria Journal
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This paper reviews computer vision and image analysis studies aiming at automated diagnosis or screening of malaria infection in microscope images of thin blood film smears. ...
The open problems are addressed and a perspective of the future work for realization of automated microscopy diagnosis of malaria is provided. ...
diagnosis of malaria. ...
doi:10.1186/1475-2875-8-153
pmid:19594927
pmcid:PMC2719653
fatcat:4syyewgu4rfmzh4byzhshgb4yq
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