Automatic fetal organs segmentation using multilayer super pixel and image moment feature

R. Rahmatullah, M. Anwar Ma'Sum, Aprinaldi, Petrus Mursanto, Budi Wiweko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Segmentation of fetal organs such as head, femur, and humérus on ultrasound image is one of the challenges in realization of automated system for fetal biometry measurements. Although many methods have been developed to overcome this problem, most of them are generally specific to one organ of the body alone. The research in this paper will focus on a machine learning method that has been available before: multilayer super pixel classification using random forest. The focus of this study is to improve the accuracy by exploring compactness parameter in the formation of super-pixels. In addition, we also add moment image features such as translation, rotation, and scale invariant to improve the segmentation performance. The experimental results showed that the difference in compactness parameters will provide different result for the accuracy, Fl-score, recall, and specificity. The addition of moment features can also improve the performance of image segmentation of fetal organs even though increase was not significant. Fetal head segmentation using proposed method has higher Fl-score and specificity, but lower accuracy and recall compared to previous methods. Whereas fetal femur and humérus segmentation using proposed method has higher accuracy, Fl-score, recall and specificity compared to previous method.

Original languageEnglish
Title of host publicationProceedings - ICACSIS 2014
Subtitle of host publication2014 International Conference on Advanced Computer Science and Information Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages420-426
Number of pages7
ISBN (Electronic)9781479980758
DOIs
Publication statusPublished - 23 Mar 2014
Event2014 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2014 - Jakarta, Indonesia
Duration: 18 Oct 201419 Oct 2014

Publication series

NameProceedings - ICACSIS 2014: 2014 International Conference on Advanced Computer Science and Information Systems

Conference

Conference2014 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2014
Country/TerritoryIndonesia
CityJakarta
Period18/10/1419/10/14

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