The need for precise and early diagnosis of malaria and its distinction from other febrile
illnesses is no doubt a prerequisite, primarily when standard rapid diagnostic tests (RDTs) …

This paper presents a new approach for detecting malaria parasites in full images of thick
blood smear using pixel classifiers for obtaining foreground objects and delimiting parasite …

Today, malaria is a dangerous disease caused by Plasmodium parasites and transmitted by
the bite of Anopheles mosquitoes. It is estimated that more than 200,000 cases of malaria …

This paper critically explores the opportunities and challenges of deploying Artificial
Intelligence (AI) in healthcare. This study has two parallel components:(1) A narrative …

Variational quantum circuit (VQC) is a quantum-classical (QC) machine learning approach
that accommodates quantum processes on a classical computer. Malaria is a worldwide …

Despite significant efforts to democratize artificial intelligence (AI), computer vision which is
a sub-field of AI, still lags in Africa. A significant factor to this, is the limited access to …

Computer vision is a broad field of study that encompasses different tasks (eg, object
detection, semantic segmentation, 3D reconstruction). Although computer vision is relevant …

Computer vision encompasses a range of tasks such as object detection, semantic
segmentation, and 3D reconstruction. Despite its relevance to African communities, research …

Demam berdarah masih menjadi masalah serius. Banyaknya kasus Demam Berdarah di
dunia disebabkan oleh iklim yang tidak stabil dan curah hujan yang tinggi pada musim …

Malaria remains a global health challenge, necessitating accurate and efficient methods for
the identification of malaria parasites from blood smear images. In this study, we propose an …