Malaria detection using advanced deep learning architecture

W Siłka, M Wieczorek, J Siłka, M Woźniak - Sensors, 2023 - mdpi.com
Malaria is a life-threatening disease caused by parasites that are transmitted to humans
through the bites of infected mosquitoes. The early diagnosis and treatment of malaria are …

IMNets: Deep learning using an incremental modular network synthesis approach for medical imaging applications

R Ali, RC Hardie, BN Narayanan, TM Kebede - Applied Sciences, 2022 - mdpi.com
Deep learning approaches play a crucial role in computer-aided diagnosis systems to
support clinical decision-making. However, developing such automated solutions is …

[HTML][HTML] Computer-Aided Diagnosis Systems for Automatic Malaria Parasite Detection and Classification: A Systematic Review

F Grignaffini, P Simeoni, A Alisi, F Frezza - Electronics, 2024 - mdpi.com
Malaria is a disease that affects millions of people worldwide with a consistent mortality rate.
The light microscope examination is the gold standard for detecting infection by malaria …

Autokeras approach: A robust automated deep learning network for diagnosis disease cases in medical images

A Alaiad, A Migdady, RM Al-Khatib, O Alzoubi… - Journal of …, 2023 - mdpi.com
Automated deep learning is promising in artificial intelligence (AI). However, a few
applications of automated deep learning networks have been made in the clinical medical …

An ensemble artificial intelligence‐enabled MIoT for automated diagnosis of malaria parasite

SR Nayak, J Nayak, S Vimal, V Arora… - Expert Systems, 2022 - Wiley Online Library
Rapid advancements in Information and Communication Technologies (ICT) and artificial
intelligence (AI) applications permeating to all spheres of life, including medical prognosis …

A Transformer-Based Algorithm for Automatically Diagnosing Malaria Parasite in Thin Blood Smear Images Using MobileViT

A Marefat, JH Joloudari, M Rastgarpour - 2023 - researchsquare.com
Based on the report provided by the World Health Organization (WHO), malaria has proved
to be a life-threatening disease whose cases reached 241 million in 2020 globally …