会议论文详细信息
2nd International Conference on Innovation in Engineering and Vocational Education
Osteoarthritis Severity Determination using Self Organizing Map Based Gabor Kernel
工业技术;教育
Anifah, L.^1 ; Purnomo, M.H.^2 ; Mengko, T.L.R.^3 ; Purnama, I.K.E.^2
Informatics Department, Faculty of Engineering, Universitas Negeri Surabaya, Kampus Unesa Ketintang, Jl. Ketintang, Surabaya East Java
60231, Indonesia^1
Electrical Engineering Department, Institut Teknologi Sepuluh Nopember, Kampus ITS Keputih Sukolilo Surabaya, East Java, Surabaya
60111, Indonesia^2
Electrical Engineering Department, Institut Teknologi Bandung, Jl. Ganesha 10/12, Bandung, West Java, Indonesia^3
关键词: Gabor kernel;    Knee osteoarthritis;    Learning rates;    Medical practitioner;    Number of iterations;    Template-based;    Testing phase;    X-ray image;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/306/1/012071/pdf
DOI  :  10.1088/1757-899X/306/1/012071
来源: IOP
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【 摘 要 】
The number of osteoarthritis patients in Indonesia is enormous, so early action is needed in order for this disease to be handled. The aim of this paper to determine osteoarthritis severity based on x-ray image template based on gabor kernel. This research is divided into 3 stages, the first step is image processing that is using gabor kernel. The second stage is the learning stage, and the third stage is the testing phase. The image processing stage is by normalizing the image dimension to be template to 50200 image. Learning stage is done with parameters initial learning rate of 0.5 and the total number of iterations of 1000. The testing stage is performed using the weights generated at the learning stage. The testing phase has been done and the results were obtained. The result shows KL-Grade 0 has an accuracy of 36.21%, accuracy for KL-Grade 2 is 40,52%, while accuracy for KL-Grade 2 and KL-Grade 3 are 15,52%, and 25,86%. The implication of this research is expected that this research as decision support system for medical practitioners in determining KL-Grade on X-ray images of knee osteoarthritis.
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