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Machine Learning for Malaria Detection in Blood Smear Images — Aproplat

Machine Learning for Malaria Detection in Blood Smear Images

Author: Jean Nkemtchou

Computer ScienceMSc Computer Science2024

Abstract

Deep learning approach for automated malaria parasite detection achieving 97.3% accuracy.

The complete work and its attachments are available on University of Buea's repository.

Access via University of Buea

Cite this thesis

DOI10.5281/zenodo.20760140

Nkemtchou, Jean. (2024). Machine Learning for Malaria Detection in Blood Smear Images [MSc Computer Science thesis, University of Buea]. Aproplat. https://doi.org/10.5281/zenodo.20760140

Details

AuthorJean Nkemtchou

SupervisorDr. Kelson Ngoe Tchinda

InstitutionUniversity of Buea

FacultyFaculty of Science

DepartmentComputer Science

Year2024

QualificationMSc Computer Science

LanguageEnglish

ReferenceREF-ML2024001

Reads130

Downloads45

Citations0

AvailabilityAvailable upon request