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Design of an Integrated Clinical Research Informatics System for a Multi-Centre and Multi-Visit Prospective Birth Cohort Study.

, , and . MedInfo, volume 290 of Studies in Health Technology and Informatics, page 125-129. IOS Press, (2021)

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Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction., , and . EMBC, page 2736-2739. IEEE, (2018)CNN-based image analysis for malaria diagnosis., , , , , , , , , and 3 other author(s). BIBM, page 493-496. IEEE Computer Society, (2016)Malaria Thick Blood Smears., , , , , , , , and . (August 2021)Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears., , , , , , , , , and . AIPR, page 1-8. IEEE Computer Society, (2017)Malaria elimination modelling in the context of antimalarial drug resistance.. University of Oxford, UK, (2013)British Library, EThOS.Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears., , , , , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105811F. SPIE, (2018)Cascading YOLO: automated malaria parasite detection for Plasmodium vivax in thin blood smears., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Multiquadric spline-based interactive segmentation of vascular networks., , , , , , , and . EMBC, page 5913-5916. IEEE, (2016)Design of an Integrated Clinical Research Informatics System for a Multi-Centre and Multi-Visit Prospective Birth Cohort Study., , and . MedInfo, volume 290 of Studies in Health Technology and Informatics, page 125-129. IOS Press, (2021)Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis., , , , , , and . AIPR, page 1-6. IEEE, (2021)