Remote microscopy diagnostics (ReMiDi) with machine learning in malaria parasite detection

The rapid diagnosis of malaria, where microscopy is the gold standard for detection, is critical for its effective treatment. However, microscopy-based diagnostics heavily rely on the availability of trained technicians, especially in remote locations. The automation of microscopy diagnostics can he...

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Bibliographic Details

Main Authors:	Cajaljal, Patricia Mae G. (Author), Sanchez, Geraldine G. (Author)
Other Authors:	Naval, Prospero C. Jr (adviser.)
Format:	Thesis
Language:	English
Subjects:	Malaria > Diagnosis. Microscopy > Data processing.