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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 ...
Classification of Plasmodium Skizon and Gametocytes Malaria Images Using Deep Learning
(International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2021)
Identification analysis of the malaria parasite cell infection, there is a possibility of human error factor done by paramedics because of the number of samples that must be analyzed. This case is because the human eye ...