TY - GEN
T1 - Automatic fascia extraction and classification for measurement of muscle layer thickness
AU - Imaizumi, Tsubasa
AU - Koizumi, Norihiro
AU - Kondo, Ryosuke
AU - Nishiyama, Yu
AU - Matsumoto, Naoki
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/20
Y1 - 2018/8/20
N2 - In this report, we proposed a method of discriminating of fascia using Histograms of Oriented Gradients (HOG) and Support Vector Machine (SVM) in ultrasound images. In modern society, aging is progressing due to medical development. Along with that, the decline of muscle due to aging is regarded as a serious problem. To cope with this problem, we proposed a method of automatic fascia classification to visualize muscle thickness. Our method use SVM based on the texture of ultrasound images. In addition to this method, our method achieves about 90% Accuracy and Recall by considering that the fascia is a continuous tissue. Experimental results show the effectiveness of our proposed automatic fascia extraction method.
AB - In this report, we proposed a method of discriminating of fascia using Histograms of Oriented Gradients (HOG) and Support Vector Machine (SVM) in ultrasound images. In modern society, aging is progressing due to medical development. Along with that, the decline of muscle due to aging is regarded as a serious problem. To cope with this problem, we proposed a method of automatic fascia classification to visualize muscle thickness. Our method use SVM based on the texture of ultrasound images. In addition to this method, our method achieves about 90% Accuracy and Recall by considering that the fascia is a continuous tissue. Experimental results show the effectiveness of our proposed automatic fascia extraction method.
KW - machine learning
KW - robot vision
KW - ultrasound image
UR - http://www.scopus.com/inward/record.url?scp=85053490503&partnerID=8YFLogxK
U2 - 10.1109/URAI.2018.8441877
DO - 10.1109/URAI.2018.8441877
M3 - Conference contribution
AN - SCOPUS:85053490503
SN - 9781538663349
T3 - 2018 15th International Conference on Ubiquitous Robots, UR 2018
SP - 493
EP - 496
BT - 2018 15th International Conference on Ubiquitous Robots, UR 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Ubiquitous Robots, UR 2018
Y2 - 27 June 2018 through 30 June 2018
ER -