Article

Detection of Malaria Infection from parasite-free blood smears

2026-01-05

Abstract excerpt

Malaria affects almost 263 million people worldwide, most of whom live in sub-Saharan countries. In a strategy to reduce malaria-related mortality and limit transmission, diagnosis in endemic areas needs to be immediately available on the field, easy to perform and cheap. Therefore, it currently heavily relies on microscopic examination of blood smears. However, several studies comparing the sensitivity of this ap...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f3b54d68-1085-5b81-bd51-28175b29d036
DOI: 10.64898/2025.12.29.25343125

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Detection of Malaria Infection from parasite-free blood smearsDOI 10.64898/2025.12.29.25343125Read

Octopi 2.0: Open and Scalable Microscopy Platform for AI-powered Diagnostic ApplicationsSemantic proximity Read

Explainable Artificial Intelligence in Malaria Parasite Detection from Microscopic Blood Smear Images: A Systematic ReviewSemantic proximity Read

Remoscope: a label-free imaging cytometer for malaria diagnosticsSemantic proximity Read

Unveiling the Optimal CNN- A Performance Evaluation of Architectures in Malaria Image ClassificationSemantic proximity Read

A Lightweight Deep Learning Framework for Reliable Microscopy-Based Diagnosis of Cutaneous LeishmaniasisSemantic proximity Read

Automated Detection of Soil transmitted Helminthes and Schistosomiasis Using YOLO Based Deep Learning ModelSemantic proximity Read

Deep Optical Blood Analysis: COVID-19 Detection as a Case Study in Next Generation Blood ScreeningSemantic proximity Read

MLens: Advancing Real-Time Detection, Identification and Counting of Pathogenic Microparasites through a Web InterfaceSemantic proximity Read

A Dual-Modal Machine Learning Framework Integrating Red Blood Indices and Smartphone-Captured Microscopic Images for β-Thalassemia ScreeningSemantic proximity Read

Application of machine learning in a rodent malaria model for rapid, accurate, and consistent parasite countsSemantic proximity Read

Label-free Pathogen Identification with Microscopy Imaging and Deep LearningSemantic proximity Read

A rapid multiplex assay of human malaria parasites by digital PCRSemantic proximity Read