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.)
Resource Type: Thesis

College of Engineering Library II (UP Diliman)

Accession # Call # Volume/Part# Copy # Collection Circulation Type Circulation Status
E2-1646TG LG 993.5 2019 C65 / C35 Room-use Only On-Shelf