@inproceedings{e3737c7754fd475397ddc5b40608f9ea,
title = "Ellipse detection on embryo image using modification of arc Particle Swarm Optimization (ArcPSO) based arc segment",
abstract = "In Vitro Fertilization (IVF) technology is used to help couple that have problem in their reproduction organs. However, the success rate of IVF is just 30%, so it is a challenging task to increase that success rate. In this paper, we proposed an ellipse detection method on single and multiple embryo image by modifying the ArcPSO method on ellipse fitting process and the process on extract the arc segment for ellipse detection. The experiment results on single embryo data showed that the proposed method has a 24% better on F-Measure, 21% better on precision, and 28% better on recall as compared to the original ArcPSO method. While the experiment results on multi embryo data showed that the proposed method has a 7% better on F-Measure, 11% better on Precision, and 2% better on Recall as compared to the original ArcPSO method.",
keywords = "ArcPSO, IVF, arc segment, ellipse detection",
author = "Syulistyo, {Arie Rachmad} and Wisesa, {Hanif Arief} and Aprinaldi and Anom Bowolaksono and Budi Wiweko and Wisnu Jatmiko",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015 ; Conference date: 23-11-2015 Through 25-11-2015",
year = "2016",
month = mar,
day = "21",
doi = "10.1109/MHS.2015.7438307",
language = "English",
series = "2015 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015",
address = "United States",
}