TY - GEN
T1 - Fetal head segmentation based on Gaussian elliptical path optimize by flower pollination algorithm and cuckoo search
AU - Kusuma, Ilham
AU - Ma'Sum, M. Anwar
AU - Sanabila, H. S.
AU - Wisesa, H. A.
AU - Jatmiko, Wisnu
AU - Arymurthy, Aniati Murni
AU - Wiweko, Budi
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/6
Y1 - 2017/3/6
N2 - Number of maternal and infant mortality in Indonesia is high. This problem can be minimized by monitoring the fetal condition via ultrasound image. In addition, Indonesia have small number of obstetrics and gynecology compare to number of its population. Moreover, it is centralized in urban areas, so it is hard to monitor the condition of every babies in Indonesia. In order to resolve this problem, we have built fetal head monitoring system. Part of the system is to segment the fetal head in ultrasound image. In this paper, we examine nature optimization such as bat algorithm, cuckoo search, and flower pollination algorithm for optimizing Gaussian elliptical path for automatic fetal head segmentation. Experiment results shows that nature optimization Based Gaussian elliptical path (DoGEII-FPA and DoGEII-CS) has a minimum error compared to Gaussian elliptical path (DoGEll) which is optimized by Nelder-Mead. Interestingly, DoGEll-FPA and DoGEll-CS perform well from DoGEll-NM in different image.
AB - Number of maternal and infant mortality in Indonesia is high. This problem can be minimized by monitoring the fetal condition via ultrasound image. In addition, Indonesia have small number of obstetrics and gynecology compare to number of its population. Moreover, it is centralized in urban areas, so it is hard to monitor the condition of every babies in Indonesia. In order to resolve this problem, we have built fetal head monitoring system. Part of the system is to segment the fetal head in ultrasound image. In this paper, we examine nature optimization such as bat algorithm, cuckoo search, and flower pollination algorithm for optimizing Gaussian elliptical path for automatic fetal head segmentation. Experiment results shows that nature optimization Based Gaussian elliptical path (DoGEII-FPA and DoGEII-CS) has a minimum error compared to Gaussian elliptical path (DoGEll) which is optimized by Nelder-Mead. Interestingly, DoGEll-FPA and DoGEll-CS perform well from DoGEll-NM in different image.
KW - Cuckoo Search
KW - DoGEll
KW - Fetal Head Segmentation
KW - Flower Pollination Algorithm
UR - http://www.scopus.com/inward/record.url?scp=85016926935&partnerID=8YFLogxK
U2 - 10.1109/ICACSIS.2016.7872804
DO - 10.1109/ICACSIS.2016.7872804
M3 - Conference contribution
AN - SCOPUS:85016926935
T3 - 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
SP - 564
EP - 571
BT - 2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
Y2 - 15 October 2016 through 16 October 2016
ER -