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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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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
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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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