Search
Now showing items 1-8 of 8
An Intelligent Classification System for Trophozoite Stages in Malaria Species
(Intelligent Automation & Soft Computing, 2022)
Malaria is categorised as a dangerous disease that can cause fatal in many countries. Therefore, early detection of malaria is essential to get rapid treat- ment. The malaria detection process is usually carried out with ...
Caries Level Classification using K-Nearest Neighbor, Support Vector Machine, and Decision Tree using Zernike Moment Invariant Features
(International Conference on Data Science and Its Applications (ICoDSA), 2022)
Dental caries is the most common disease and is reported as one of the oldest diseases. To avoid the occurrence of dental caries, there are four ways; maintaining oral hygiene, consuming healthy food, adequate fluoride and ...
Classification of Cervical Precancerous Cell of ThinPrep Images Based on Deep Learning Model AlexNet and InceptionV3
(IEEE, 2022)
Cervical cancer is one of the deadliest diseases in the world, responsible for the greatest number of fatalities. Around 569,847 new cervical cancer cases are recorded every year. Efforts to prevent this condition can be ...
Algorithm of Caries Level Image Classification using Multilayer Perceptron Based Texture Features
(IEEE International Conference on Cybernetics and Computational Intelligence, 2022)
A number of patients with untreated caries only seek treatment at late stages when serious complications might have already developed and can lead to significant acute and chronic conditions with high cost of treatment. ...
COVID-19 X-Ray Images Classification using Support Vector Machine and K-Nearest Neighbor
(ICITACEE, 2022)
COVID-19 has significantly influenced living in recent years. Almost all countries have carried out all limitations to reduce its spread. Detection is highly required for further handling of COVID-19. In this study, the ...
Comparison of Machine Learning Performance for Covid-19 X-ray Image Classification Based on Texture Features
(International Conference on Electrical Engineering, Computer Science and Informatics (EECSI2022), 2022)
The most prevalent method for early detection of Covid-19 is polymerase chain reaction (PCR). Unfortunately, the quantity of accessible test kits restricts the use of PCR. The development of automatic detection is limited ...
Machine Learning Performances for Covid-19 Images Classification based Histogram of Oriented Gradients Features
(IEEE, 2022)
Coronavirus disease (Covid-19) is an infectious disease that attacks the respiratory area caused by the severe acute respiratory syndrome (SARS-CoV-2) virus. According to the World Health Organization (WHO) as of April ...
Classification of Caries X-Ray Images using Multilayer Perceptron Models Based Shape Features
(2022)
Dental caries is one of the diseases that are often experienced by society, one way to detect it by taking pictures using Computed Radiography technology. The aim of this study was to develop a method of classifying dental ...