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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 ...
Comparison Performance of Prostate Cell Images Classification using Pretrained Convolutional Neural Network Models
(IEEE, 2021)
Prostate cancer is the most common cancer in men in 2019. In that year, in the United States 174,650 men (20%) had prostate cancer and the remaining 696.32 men (80%) had other cancers (lung, bronchus) etc). In cancer ...
Prostate Image Classification Using Pretrained Models: GoogLeNet and ResNet-50
(ICSPCS, 2021)
Anatomic pathology errors often occur around 1% to 43% in diagnosis (depending on the disease). This error resulted in delayed treatment and an incorrect diagnosis. This study aims to detect the prostate cancer cells by ...
Automatic Feeding of Laying Hens Based on Real- Time Clock
(International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2021)
The process of feeding laying hens in large quantities and on time manually will experience difficulties. The manual feeding method makes feeding less effective and efficient. A real-time clock (RTC)-based automated feeder ...
Pneumonia Detection in Chest X-ray Images Using Convolutional Neural Network
(International Conference on Information Technology, Advanced Mechanical and Electrical Engineering (ICITAMEE), 2021)
An enormous number of children die due to pneumonia every year worldwide. Pneumonia is a large-scale cause of death amongst children, with a high prevalence rate in South Asia and Sub-Saharan Africa. Even in a developed ...
Machine Learnings of Dental Caries Images based on Hu Moment Invariants Features
(International Seminar on Application for Technology of Information and Communication (iSemantic), 2021)
Dental caries generally occurs due to consuming foods containing carbohydrates, such as sucrose, and rarely brushing teeth, thus causing gradual damage to the layers and structures of the teeth. This study aims to build a ...