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

Deep Learning–Based Automated Diagnosis of Malaria Using Blood Smear Microscopy Images

International audience Malaria remains a major global health burden, particularly in

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

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

Additional file 1 of Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models

Additional file 1. Examples of malaria parasite detection results using different detection models.

Automated Deep Learning Model with Optimization Mechanism for Segmenting Leukemia from Blood Smear Images

The advancement of digital microscopic scanning has made the study of image processing as well as ca