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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 ...
Comparison of Dental Caries Level Images Classification Performance using KNN and SVM Methods
(IEEE, 2021)
This study aims to build a dental caries level classification system based on image processing (i.e. to extract texture features) and machine learning methods. The first step was to analyze and discover the extraction ...
Comparison between Support Vector Machine and K-Nearest Neighbor Algorithms for Leukemia Images Classification using Shape Features
(International Computer Science and Engineering Conference (ICSEC), 2021)
Leukemia occurs when the body produces abnormal white blood cells in amounts exceeding the normal limit, making them misfunctioning. It is highly influential on the human immune system. Currently, medical personnel require ...
Comparison of Texture and Shape Features Performance for Leukemia Cell Images using Support Vector Machine
(International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2021)
Leukemia or often called blood cancer is one type of cancer caused by excessive white blood cells. Excessive white blood cells will cause disruption of normal function of other blood cells. To find out leukemia, we can do ...
Comparison of Spine Curvature Images Classification using Support Vector Machine and K-Nearest Neighbors
(International Conference on Information Technology, Advanced Mechanical and Electrical Engineering (ICITAMEE), 2021)
The spine is one part of the human axial skeleton that serves as the body’s primary support. Hence, the health of the spine must be considered. The most common spinal abnormality is scoliosis, with the shape of the spine ...