These slide sets consist of 55–56 carefully specified Giemsa-stained blood films, used to evaluate microscopists in detection, species ID, and quantitation of malaria parasites as part of the WHO Quality Assurance programmes. One strong candidate for such a benchmark is the slide set used for the World Health Organization (WHO) External Competence Assessment of Malaria Microscopists (ECAMM) programme. Ī lack of benchmark datasets hampers the evaluation and comparison of various automated systems. Since a thorough review in 2018, there have been several additional reports proposing or evaluating systems for automated interpretation of malaria blood films. Malaria microscopy is thus a high-value target for automated image-processing and machine learning (ML) systems because such systems can potentially be widely deployed, mitigating the expert-training bottleneck, and because their results are reproducible. However, difficulties in maintaining consistent access to training, quality assurance, and material resources can lead to high variability in the quality of microscopy, hindering programmatic and research operations in the malaria endemic regions where they are most needed. Assessments of the therapeutic efficacy of anti-malarial drugs depend on microscopy for the detection and identification of malaria parasites and for estimation of parasite density. Microscopic examination of Giemsa-stained blood films continues to be widely used for parasitological confirmation of malaria diagnosis, representing roughly half of all malaria diagnostic tests performed worldwide in 2018. Improved runtime may enable use in general case management settings. ConclusionsĮasyScan GO’s expert ratings in detection and quantitation on the WHO 55 slide set point towards its potential value in drug efficacy use-cases, as well as in some case management situations with less stringent species ID needs. This is, to our knowledge, the best performance of a fully-automated system on a WHO 55 set. The EasyScan GO achieved 94.3 % detection accuracy, 82.9 % species ID accuracy, and 50 % quantitation accuracy, corresponding to WHO microscopy competence Levels 1, 2, and 1, respectively. This system was tested on a WHO 55 slide set. The EasyScan GO is a fully-automated system that combines scanning of Giemsa-stained blood films with assessment algorithms to deliver malaria diagnoses. The WHO 55 slide set is designed to evaluate microscopist competence in three areas of malaria diagnosis using Giemsa-stained blood films, focused on crucial field needs: malaria parasite detection, malaria parasite species identification (ID), and malaria parasite quantitation. The performance of a fully-automated malaria diagnostic system, EasyScan GO, on a WHO 55 slide set was evaluated. The World Health Organization (WHO) has designed a 55-slide set (WHO 55) for their External Competence Assessment of Malaria Microscopists (ECAMM) programme, which can also serve as a valuable benchmark for automated systems. ![]() Automated diagnostic systems based on machine learning hold promise to improve quality and reproducibility of field microscopy. This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.Manual microscopy remains a widely-used tool for malaria diagnosis and clinical studies, but it has inconsistent quality in the field due to variability in training and field practices. This page contains text from Wikipedia, the Free Encyclopedia. If an internal link led you here, you may wish to change the link to point directly to the intended article. This disambiguation page lists articles associated with the same title. Creator, a GRASP pattern, in object oriented design.Easy Media Creator, another media software pacakge, by a different manufacture.Creator (software), a multimedia software package.Creator (film), a 1985 film starring Peter O'Toole."Creator" (song), a 2008 song by Santogold.Creator (album), a 1988 album by The Lemonheads.The Creators, a 1992 book by Daniel Boorstin.Creators (Guyver), characters in the manga Bio Booster Armor Guyver. ![]()
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