Performance Evaluation of EfficientNet Model Towards Malaria Parasite Detection in Segmented Blood Cells from Thin-Blood Smear Images

Thin blood smear images of red blood cells with rouleaux formation morphology and normal morphology

This dataset contains images of thin blood smear with normal red blood cell morphology and rouleaux

Estimating malaria parasitaemia in images of thin smear of human blood

Optimal Machine Learning Based Automated Malaria Parasite Detection and Classification Model Using Blood Smear Images

Malaria Parasite Detection on Microscopic Blood Smear Images with Integrated Deep Learning Algorithms

Malaria is a deadly syndrome formed by the Plasmodium parasite that spreads through the bite of infe

Malaria Parasite Detection in Thick Blood Smear Microscopic Images Using Modified YOLOV3 and YOLOV4 Models

Abstract Background Information: Manual microscopic examination is still the "golden sta

A 5G network based conceptual framework for real-time malaria parasite detection from thick and thin blood smear slides using modified YOLOv5 model

Objective This paper aims to address the need for real-time malaria disease de