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Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon.
- Published in:
- PLoS Neglected Tropical Diseases, 2024, v. 18, n. 2, p. 1, doi. 10.1371/journal.pntd.0011967
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- Article
Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings.
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- Journal of Medical Imaging, 2023, v. 10, n. 4, p. 44005, doi. 10.1117/1.JMI.10.4.044005
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- Article
Towards Inclusive Diagnostics for Neglected Tropical Diseases: User Experience of a New Digital Diagnostic Device in Low-Income Settings.
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- Tropical Medicine & Infectious Disease, 2023, v. 8, n. 3, p. 176, doi. 10.3390/tropicalmed8030176
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- Article
Performance Evaluation of the Schistoscope 5.0 for (Semi-)automated Digital Detection and Quantification of Schistosoma haematobium Eggs in Urine: A Field-based Study in Nigeria.
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- American Journal of Tropical Medicine & Hygiene, 2022, v. 107, n. 5, p. 1047, doi. 10.4269/ajtmh.22-0276
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- Article
Stakeholders' Perspectives on the Application of New Diagnostic Devices for Urinary Schistosomiasis in Oyo State, Nigeria: A Q-Methodology Approach.
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- Global Health: Science & Practice, 2022, v. 10, n. 4, p. 1, doi. 10.9745/GHSP-D-21-00780
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- Article
Schistoscope: An Automated Microscope with Artificial Intelligence for Detection of Schistosoma haematobium Eggs in Resource-Limited Settings.
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- Micromachines, 2022, v. 13, n. 5, p. 643, doi. 10.3390/mi13050643
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- Article
Diagnosing point-of-care diagnostics for neglected tropical diseases.
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- PLoS Neglected Tropical Diseases, 2021, v. 15, n. 6, p. 1, doi. 10.1371/journal.pntd.0009405
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- Article
Matching Development of Point-of-Care Diagnostic Tests to the Local Context: A Case Study of Visceral Leishmaniasis in Kenya and Uganda.
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- Global Health: Science & Practice, 2020, v. 8, n. 3, p. 549, doi. 10.9745/ghsp-d-20-00028
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- Article