Expert‐level automated malaria diagnosis on routine blood films with deep neural networks
Sign Up to like & getrecommendations! Published in 2020 at "American Journal of Hematology"
DOI: 10.1002/ajh.25827
Abstract: Over 200 million malaria cases globally lead to half a million deaths annually. Accurate malaria diagnosis remains a challenge. Automated imaging processing approaches to analyze Thick Blood Films (TBF) could provide scalable solutions, for urban… read more here.
Keywords: automated malaria; blood films; malaria diagnosis; diagnosis ... See more keywords
A high‐performance cell‐phone based polarized microscope for malaria diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202200290
Abstract: We present a cell‐phone based polarized microscope for diagnosing malaria through hemozoin recognition over a wide field‐of‐view (FOV) accompanied with decent image performance. The system is constructed based on attachment method using a lens assembly… read more here.
Keywords: malaria diagnosis; based polarized; cell phone; polarized microscope ... See more keywords
Laboratory diagnosis for malaria in the elimination phase in China: efforts and challenges
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers of Medicine"
DOI: 10.1007/s11684-021-0889-7
Abstract: Malaria remains a global health challenge, although an increasing number of countries will enter pre-elimination and elimination stages. The prompt and precise diagnosis of symptomatic and asymptomatic carriers of Plasmodium parasites is the key aspect… read more here.
Keywords: malaria diagnosis; malaria; diagnosis; malaria elimination ... See more keywords
Improving Malaria diagnosis through interpretable customized CNNs architectures
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-90851-1
Abstract: Malaria, which is spread via female Anopheles mosquitoes and is brought on by the Plasmodium parasite, persists as a serious illness, especially in areas with a high mosquito density. Traditional detection techniques, like examining blood… read more here.
Keywords: diagnosis; convolutional neural; malaria diagnosis; parallel convolutional ... See more keywords
The value of lamp to rule out imported malaria diagnosis: a retrospective observational study in Milan, Italy
Sign Up to like & getrecommendations! Published in 2022 at "Infectious Diseases"
DOI: 10.1080/23744235.2021.2023754
Abstract: Abstract Background The diagnosis of malaria in returning travellers could be a challenge in non-endemic settings. We aimed to assess the performance of LAMP in comparison with standard conventional diagnostic methods using real-time-polymerase chain reaction… read more here.
Keywords: lamp; malaria diagnosis; one case; microscopy ... See more keywords
Malaria Diagnosis Using a Lightweight Deep Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Telemedicine and Applications"
DOI: 10.1155/2022/4176982
Abstract: The applications of AI in the healthcare sector are increasing day by day. The application of convolutional neural network (CNN) and mask-region-based CNN (Mask-RCCN) to the medical domain has really revolutionized medical image analysis. CNNs… read more here.
Keywords: neural network; malaria diagnosis; convolutional neural; model ... See more keywords
The role of the Deki Reader™ in malaria diagnosis, treatment and reporting: findings from an Africare pilot project in Nigeria
Sign Up to like & getrecommendations! Published in 2018 at "Malaria Journal"
DOI: 10.1186/s12936-018-2356-8
Abstract: BackgroundThe Deki Reader is a diagnostic device used with rapid diagnostic tests (RDTs) and linked to an online database for real-time uploads of patient information and results. This is in contrast to visual interpretation of… read more here.
Keywords: reader; diagnosis treatment; malaria diagnosis; dhis ... See more keywords
Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Microbiology"
DOI: 10.3389/fmicb.2022.1006659
Abstract: Malaria is an infectious disease caused by parasites of the genus Plasmodium spp. It is transmitted to humans by the bite of an infected female Anopheles mosquito. It is the most common disease in resource-poor… read more here.
Keywords: diagnosis; malaria diagnosis; microscopy; artificial intelligence ... See more keywords
Review of the Current Landscape of the Potential of Nanotechnology for Future Malaria Diagnosis, Treatment, and Vaccination Strategies
Sign Up to like & getrecommendations! Published in 2021 at "Pharmaceutics"
DOI: 10.3390/pharmaceutics13122189
Abstract: Malaria eradication has for decades been on the global health agenda, but the causative agents of the disease, several species of the protist parasite Plasmodium, have evolved mechanisms to evade vaccine-induced immunity and to rapidly… read more here.
Keywords: review current; landscape; malaria diagnosis; nanotechnology ... See more keywords
Malaria hemozoin: A target for point-of-care diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "Indian Journal of Public Health"
DOI: 10.4103/ijph.ijph_1646_21
Abstract: The challenges in malaria diagnosis continue to threaten the malaria elimination goal in India and other malaria-endemic countries. A rapid diagnostic test (RDT) kit is widely used in resource-constrained areas where microscopy and molecular methods… read more here.
Keywords: point care; diagnosis; malaria; malaria diagnosis ... See more keywords