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Computational Methods for Automated Analysis of Malaria Parasite Using Blood Smear Images: Recent Advances

Shankar Shambhu, Deepika Koundal, Prasenjit Das, Vinh Truong Hoang, Kiet Tran-Trung, Hamza Turabieh, Zhongxu Hu
2022 Computational Intelligence and Neuroscience  
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

Mahdieh Poostchi, Kamolrat Silamut, Richard J. Maude, Stefan Jaeger, George Thoma
2018 Translational Research: The Journal of Laboratory and Clinical Medicine  
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

C Berin Jones, T Susitha
2018 Journal of excellence in Computer Science and Engineering  
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/ fatcat:da7jrrjfcnez3o6st54amkeyrm

A Malaria Diagnostic Tool Based on Computer Vision Screening and Visualization of Plasmodium falciparum Candidate Areas in Digitized Blood Smears

Nina Linder, Riku Turkki, Margarita Walliander, Andreas Mårtensson, Vinod Diwan, Esa Rahtu, Matti Pietikäinen, Mikael Lundin, Johan Lundin, Michelle Louise Gatton
2014 PLoS ONE  
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

Salam Shuleenda Devi, Shah Alam Sheikh, Rabul Hussain Laskar
2016 International Journal of Interactive Multimedia and Artificial Intelligence  
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

Luís Rosado, José M. Correia da Costa, Dirk Elias, Jaime S. Cardoso
2016 Anti-Infective Agents  
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

Suchada Tantisatirapong, Wongsakorn Preedanan
2020 ECTI Transactions  
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

Mira S. Davidson, Clare Andradi-Brown, Sabrina Yahiya, Jill Chmielewski, Aidan J. O'Donnell, Pratima Gurung, Myriam Jeninga, Parichat Prommana, Dean Andrew, Michaela Petter, Chairat Uthaipibull, Michelle Boyle (+8 others)
2021 Biological Imaging  
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

Hang Yu, Feng Yang, Sivaramakrishnan Rajaraman, Ilker Ersoy, Golnaz Moallem, Mahdieh Poostchi, Kannappan Palaniappan, Sameer Antani, Richard J. Maude, Stefan Jaeger
2020 BMC Infectious Diseases  
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]

Mira S Davidson, Sabrina Yahiya, Jill Chmielewski, Aidan John O'Donnell, Pratima Gurung, Myriam Jeninga, Parichat Prommana, Dean Andrew, Michaela Petter, Chairat Uthaipibull, Michelle J Boyle, George W Ashdown (+6 others)
2021 medRxiv   pre-print
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

Jung Yoon, Woong Sik Jang, Jeonghun Nam, Do-CiC Mihn, Chae Seung Lim
2021 Diagnostics  
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

Vishal V. Panchbhai, Lalit B. Damahe, Ashwini V. Nagpure, Priyanka N. Chopkar
2012 International Journal of Image Graphics and Signal Processing  
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

Venkata Naresh Mandhala, Debnath Bhattacharyya, D. Sushma
2020 International Journal of Current Research and Review  
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  
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

F Boray Tek, Andrew G Dempster, Izzet Kale
2009 Malaria Journal  
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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