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Malaria microscopy, microscopic examination of stained blood slides to detect parasite Plasmodium, is considered to be a gold-standard for detecting life-threatening disease malaria. Detecting the plasmodium parasite requires a skilled…

Image and Video Processing · Electrical Eng. & Systems 2021-02-18 Qazi Ammar Arshad , Mohsen Ali , Saeed-ul Hassan , Chen Chen , Ayisha Imran , Ghulam Rasul , Waqas Sultani

Improving the efficiency of malaria diagnosis is one of the main goals of current malaria research. We have recently developed a magneto-optical (MO) method which allows high-sensitivity detection of malaria pigment (hemozoin) crystals via…

Malaria is mosquito-borne blood disease caused by parasites of the genus Plasmodium. Conventional diagnostic tool for malaria is the examination of stained blood cell of patient in microscope. The blood to be tested is placed in a slide and…

Image and Video Processing · Electrical Eng. & Systems 2018-03-30 Suman Kunwar

Malaria, a fatal but curable disease claims hundreds of thousands of lives every year. Early and correct diagnosis is vital to avoid health complexities, however, it depends upon the availability of costly microscopes and trained experts to…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Waqas Sultani , Wajahat Nawaz , Syed Javed , Muhammad Sohail Danish , Asma Saadia , Mohsen Ali

The analysis and counting of blood cells in a microscope image can provide useful information concerning to the health of a person. In particular, morphological analysis of red blood cells deformations can effectively detect important…

Computers and Society · Computer Science 2013-12-05 Pramit Ghosh , Debotosh Bhattacharjee , Mita Nasipuri , Dipak Kumar Basu

Malaria is a life-threatening mosquito-borne blood disease, hence early detection is very crucial for health. The conventional method for the detection is a microscopic examination of Giemsa-stained blood smears, which needs a highly…

Computer Vision and Pattern Recognition · Computer Science 2020-06-24 Neeru Singla , Vishal Srivastava

Malaria is a serious disease caused by the Plasmodium parasite that transmitted through the bite of a female Anopheles mosquito and invades human erythrocytes. Malaria must be recognized precisely in order to treat the patient in time and…

Image and Video Processing · Electrical Eng. & Systems 2019-10-01 Julisa Bana Abraham

Deep learning based models have had great success in object detection, but the state of the art models have not yet been widely applied to biological image data. We apply for the first time an object detection model previously used on…

Malaria remains a prevalent health concern in regions with tropical and subtropical climates. The cause of malaria is the Plasmodium parasite, which is transmitted through the bites of infected female Anopheles mosquitoes. Traditional…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Md. Ismiel Hossen Abir , Awolad Hossain

Malaria is considered one of the deadliest diseases in today world which causes thousands of deaths per year. The parasites responsible for malaria are scientifically known as Plasmodium which infects the red blood cells in human beings.…

Computer Vision and Pattern Recognition · Computer Science 2020-06-22 Aayush Kumar , Sanat B Singh , Suresh Chandra Satapathy , Minakhi Rout

Malaria is a potentially fatal plasmodium parasite injected by female anopheles mosquitoes that infect red blood cells and millions worldwide yearly. However, specialists' manual screening in clinical practice is laborious and prone to…

Image and Video Processing · Electrical Eng. & Systems 2024-03-21 Saddam Hussain Khan , Tahani Jaser Alahmadi

Motivation: Machine learning methods can be used to support scientific discovery in healthcare-related research fields. However, these methods can only be reliably used if they can be trained on high-quality and curated datasets. Currently,…

Quantitative Methods · Quantitative Biology 2023-05-04 Jonas Christian Ditz , Jacqueline Wistuba-Hamprecht , Timo Maier , Rolf Fendel , Nico Pfeifer , Bernhard Reuter

Malaria is a major health issue worldwide, and its diagnosis requires scalable solutions that can work effectively with low-cost microscopes (LCM). Deep learning-based methods have shown success in computer-aided diagnosis from microscopic…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Ishan Rajendrakumar Dave , Tristan de Blegiers , Chen Chen , Mubarak Shah

Fast accurate diagnosis of malaria is still a global health challenge for which automated digital-pathology approaches could provide scalable solutions amenable to be deployed in low-to-middle income countries. Here we address the problem…

Malaria parasites pose a significant global health burden, causing widespread suffering and mortality. Detecting malaria infection accurately is crucial for effective treatment and control. However, existing automated detection techniques…

Computer Vision and Pattern Recognition · Computer Science 2024-12-18 Abraham G Taye , Sador Yemane , Eshetu Negash , Yared Minwuyelet , Moges Abebe , Melkamu Hunegnaw Asmare

Foraminifera are single-celled marine organisms that construct shells that remain as fossils in the marine sediments. Classifying and counting these fossils are important in e.g. paleo-oceanographic and -climatological research. However,…

Computer Vision and Pattern Recognition · Computer Science 2021-06-01 Thomas Haugland Johansen , Steffen Aagaard Sørensen , Kajsa Møllersen , Fred Godtliebsen

Malaria is a female anopheles mosquito-bite inflicted life-threatening disease which is considered endemic in many parts of the world. This article focuses on improving malaria detection from patches segmented from microscopic images of red…

Image and Video Processing · Electrical Eng. & Systems 2019-07-25 Aimon Rahman , Hasib Zunair , M Sohel Rahman , Jesia Quader Yuki , Sabyasachi Biswas , Md Ashraful Alam , Nabila Binte Alam , M. R. C. Mahdy

Global research efforts have been focused on the simultaneous improvement of the efficiency and sensitivity of malaria diagnosis in resource-limited settings and for the active case detection of asymptomatic infections. A recently developed…

Malaria is usually diagnosed by a microbiologist by examining a small sample of blood smear. Reducing mortality from malaria infection is possible if it is diagnosed early and followed with appropriate treatment. While the WHO has set…

Computer Vision and Pattern Recognition · Computer Science 2023-03-22 Onyekachukwu R. Okonji
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