Artificial intelligence (AI): a new window to revamp the vector-borne disease control
Artificial intelligence (AI) facilitates scientists to devise intelligent machines that work and
behave like humans to resolve difficulties and problems by utilizing minimal resources. The …
behave like humans to resolve difficulties and problems by utilizing minimal resources. The …
YOLO-FMS: A lightweight and efficient model for medical microscopic smear detection
Y Wang, L Pan, X Shu - IEEE Access, 2024 - ieeexplore.ieee.org
Deep learning-based computer vision technology has been extensively utilized to assist
medical microscopic smear diagnoses, such as complete blood count, detecting …
medical microscopic smear diagnoses, such as complete blood count, detecting …
Application of Deep Learning Techniques for Detection and Classification of Human Disease
M Navyashree, P Nagaraju - 2023 7th International …, 2023 - ieeexplore.ieee.org
Machine learning is used practically everywhere from technologies to healthcare. Many
researchers predict that disease diagnosis through machine learning is cost efficient and …
researchers predict that disease diagnosis through machine learning is cost efficient and …
Automated Malaria Parasite Identification and Classification Using Deep Learning Techniques
B Thangammal, U Leelavathi, PR KPV… - 2024 International …, 2024 - ieeexplore.ieee.org
The parasites which transmit malaria are part of the Plasmodium genus that transmit the
disease via the bite of a mosquito. The traditional method of diagnosing this illness involves …
disease via the bite of a mosquito. The traditional method of diagnosing this illness involves …
Voting Based Classification System for Malaria Parasite Detection
PM Neelamraju, BS Penugonda, A Koganti… - … on Intelligent Vision and …, 2022 - Springer
Malaria is a potentially fatal disease caused by plasmodium parasites that infect certain
types of mosquitoes that feed on human blood. It usually causes a severe illness with high …
types of mosquitoes that feed on human blood. It usually causes a severe illness with high …
Detection of Malaria Parasites in Thick Blood Smear Images using Shallow Neural Networks and Digital Image Processing Techniques
MS Nascimento, MGF Costa… - 2023 19th International …, 2023 - ieeexplore.ieee.org
In routine malaria microscopic diagnosis, the thick blood film exam is performed to detect
malaria parasites. The microscopic diagnosis is based on counting the number of parasites …
malaria parasites. The microscopic diagnosis is based on counting the number of parasites …
[PDF][PDF] Malarial Diagnosis with Deep Learning and Image Processing Approaches
Malaria is a mosquito-borne disease that has killed an estimated a half-a-million people
worldwide since 2000. It may be time consuming and costly to conduct thorough laboratory …
worldwide since 2000. It may be time consuming and costly to conduct thorough laboratory …