TY - GEN
T1 - Osteoarthritis Classification Using Self Organizing Map Based Gray Level Run Length Matrices
AU - Anifah, Lilik
AU - Mengko, Tati Latifah R.
AU - Purnomo, Mauridhi Hery
AU - Eddy Purnama, I. Ketut
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/11/15
Y1 - 2018/11/15
N2 - The number of knee osteoarthritis patients in the world is very high. This disease can not be cured, and can only be treated so that the condition does not get worse. Detecting the status of osteoarthritis early is very important, the patient can be treated according to KL-Grade and hopefully the quality of life of patient will be improved. This study discusses Gray Level Run Length Matrices feature-based classification using Self Organizing Map. The classification results show KL-Grade 0 accuracy is 20.68%, KL-Grade 1 has an accuracy of 25.86%, accuracy for KL-Grade 2 is 20.69%, KL-Grade 3 has an accuracy only 30.17%, and KL-Grade 4 just only 12 % could classified. Based on the results obtained then further research is needed to obtain better results.
AB - The number of knee osteoarthritis patients in the world is very high. This disease can not be cured, and can only be treated so that the condition does not get worse. Detecting the status of osteoarthritis early is very important, the patient can be treated according to KL-Grade and hopefully the quality of life of patient will be improved. This study discusses Gray Level Run Length Matrices feature-based classification using Self Organizing Map. The classification results show KL-Grade 0 accuracy is 20.68%, KL-Grade 1 has an accuracy of 25.86%, accuracy for KL-Grade 2 is 20.69%, KL-Grade 3 has an accuracy only 30.17%, and KL-Grade 4 just only 12 % could classified. Based on the results obtained then further research is needed to obtain better results.
KW - GLRLM
KW - SOM
KW - classification
KW - knee
KW - osteoarthritis
UR - http://www.scopus.com/inward/record.url?scp=85059425416&partnerID=8YFLogxK
U2 - 10.1109/ICICI-BME.2017.8537730
DO - 10.1109/ICICI-BME.2017.8537730
M3 - Conference contribution
AN - SCOPUS:85059425416
T3 - Proceedings of 2017 5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, ICICI-BME 2017
SP - 26
EP - 30
BT - Proceedings of 2017 5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, ICICI-BME 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, ICICI-BME 2017
Y2 - 6 November 2017 through 7 November 2017
ER -