Comparison on Two-Dimensional Ultrasound to Three-Dimensional Placenta Image using Segmentation Techniques
Keywords:
Placenta Imaging, Image Segmentation, Image Processing, 2-Dimensional image segmentation, 3-Dimensional image segmentationAbstract
Ultrasound Placenta image are usually low in resolution which may lead to loss of characteristics features of the image. Discarded at birth, the placenta is a highly complex and fascinating organ. During the course of a pregnancy, it acts as the lungs, gut, kidneys, and liver of the fetus. Ultrasound is a diagnostic technique which has many purposes though it is typically used by a Gynecologist to check the fetus in the mother's womb during pregnancy. Image Segmentation is very important in many medical reputation applications. This survey aims at providing an insight about different 2-Dimensional and 3-Dimensional Placenta image segmentation techniques and to help better understanding to the people who are new in this field. This comparative study summarizes the benefits and limitations of various segmentation techniques
References
Pinaki Pratim Acharjya and Dibyendu Ghoshal ” Segmentation of Medical Images Using Morphological Approach” International Journal of Scientific & Engineering Research, Volume 4, Issue 7, July-2013, ISSN 2229-5518.
Ali Abdo Mohammed Al-Kubati, Jamil A. M. Saif, Murad A. A.Taher” Evaluation of Canny and Otsu Image Segmentation” International Conference on Emerging Trends in Computer and Electronics Engineering (ICETCEE'2012) March 24-25, 2012 Dubai.
Poonam Dhankhar1, Neha Sahu2” A Review and Research of Edge
Detection Techniques for Image Segmentation” IJCSMC, Vol. 2, Issue. 7, July 2013, pg.86 – 92.
G. Malathi and Dr. V. Shanthi, “Statistical Measurement of Ultrasound Placenta Images Complicated by Gestational Diabetes Mellitus Using Segmentation Approach”, Journal of Information Hiding and Multimedia Signal Processing, Volume 2, Number 4, October 2011.
T. Hata, H. Tanaka, ”Three-dimensional ultrasound evaluation of the placenta”, Elesevier journal, November 2010. [5]Image Segmentation Techniques Rajeshwar Dass, priyanka, Swapna Devi IJECT Vol. 3, Issue 1, Jan. - March 2012.
G. Malathi and Dr. V. Shanthi” Thickness based Characterization of Ultrasound Placenta Images using Regression Analysis”, International Journal of Computer Applications (0975 – 8887) Volume 3 – No.7, June 2010.
“Histogram Based Classification of Ultrasound Images of Placenta”, G.Malathi, Dr.V.Shanthi, International Journal of Computer Applications, Feb 2010, Volume 1 – No. 16.
“Wavelet Based Features For Ultrasound Placenta Images
Classification”, G. Malathi, Dr.V.Shanthi, 2nd International Conference on Emerging Trends in Engineering and Technology, Nagpur, December 2009.
Roy-Lacroix ME, Moretti F, Ferraro ZM, Brosseau L, Clancy J, Fung-Kee-Fung K.” A comparison of standard two-dimensional ultrasound to three-dimensional volume sonography for routine second-trimester fetal imaging.” J Perinatol. 2017 Apr;37(4):380-
doi: 10.1038/jp.2016.212. Epub 2017 Jan 26
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