… This article focuses on improving malaria detection from patches segmented from microscopic
images of red blood cell smears by introducing a deep convolutional neural network. …

… Plasmodium parasites are transmitted to people through the … and rendered a better result,
as shown in Section 4.1. … other works have started using deep learning approaches. Behind …

… first deep learning model using convolutional neural networks … between malaria parasites
and other red blood cell inclusions … increase in the use of deep learning, a subset of machine …

… inspection of a blood smear slide under a microscope for detecting malaria parasites which
inhibit the red blood cells (… complexity and improve the accuracy of the deep learning models. …

… is to improve the precision and effectiveness of malaria parasite diagnostic … deep
learning-based models for malaria identification. Implementing this strategy would greatly increase …

… We introduce a deep convolutional neural network (CNN) to improve malaria diagnosis
accuracy using patches segmented from microscopic images of red blood cell smears. We …

… paper, we propose a deep learning model based on CNN to … of malaria-infected red blood
cells, thereby improving the … 2013) Malaria parasite identification on thick blood film using …

… the malarial parasitizes from smear blood cell images. The … count the number of parasites
in red blood cells from 5000 … The AI-based diagnostic care will provide better treatment at …

… existing deep learning models for efficient malaria detection. … that outperforms all observed
deep learning models. It exploits … to enhance the visibility of parasites in red blood cells under …

… for determining malaria parasitemia based on a count of Red Blood Cells (RBCs) … deep
learning approach for detection and counting of malaria parasites and WBCs for improved …