The week's pick
Reseach Article
Histogram Based Classification of Ultrasound Images of Placenta
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 1 - Number 16 |
| Year of Publication: 2010 |
| Authors: G. Malathi, V. Shanthi |
10.5120/343-522
|
G. Malathi, V. Shanthi . Histogram Based Classification of Ultrasound Images of Placenta. International Journal of Computer Applications. 1, 16 ( February 2010), 49-52. DOI=10.5120/343-522
Abstract
In this paper, the authors have made an attempt to classify the placenta based on the intensity level of histogram of the ultrasound images of placenta. The medical images are usually low in resolution. Specialized tools are required to assist the medical experts in medical image diagnosis and for further treatment. The image histogram is used to classify the ultrasound images of placenta into normal and abnormal placenta using k nearest neighbor classifier. It is further used to analyze the complications of gestational diabetes mellitus on the growth of the placenta.
References
- Www.diabetesnews.in/2006/12/diabetes-statistics.html
- Www.new-treatment-for-diabetes-types.com/facts-about- diabetes-3.html
- Rasmussen S, Irgens LM, Dalaker K. A history of placental dysfunction and risk of placental abruption. http://www.ncbi.nlm.nih.gov/pubmed/9987782
- Concise Medical Dictionary, Oxford University Press, Market House Books Ltd,1998
- The Times of India, Chennai, Tuesday, August,04, 2009, - Published in American Journal of Perinatology, 3rd August, 2009
- Placental Dysfunction-Placental Insufficiency. http://www.medicineonline.com/articles/P/2/Placental-Dysfunction/Placental-Insufficiency.html
- Meghana Toal, Vandana Chaddha, Rory Windrim, John Kingdom, “ Ultrasound Detection of Placental Insufficiency in Women with Elevated Second Trimester Serum Alpha Fetoprotein or Human Chorionic Gonadotropin”, OBSTETRICS, March 2008
- Marek Pietryga, Jacek Br zert, Ewa Wender-O gowska, Romuald Biczysko, Mariusz Dubiel, Saemundur Gudmundsson, “Abnormal Uterine Doppler Is Related to Vasculopathy in Pregestational Diabetes Mellitus”, American Heart Association, Inc., 2005.
- P.A. Linares, P.J. Mc Cullagh, N.D. Black , J.Dornan, “Characterization of ultrasonic images of the placenta based on textural features”, IEEE Conf. On Information Technology Application in Biomedicine, UK, 2003
- K.Thangavel, M.Karnan, A. Pethalakshmi, “Performance Analysis of Rough Reduct Algorithms in Mammogram”, International Journal on Graphics, Vision and Image Processing, 2005
- P.A. T. Grannum, R.L. Nerkowitz and J.C. Honnins, “The Ultrasonic changes in the maturing placenta and their relation to fetal pulmonic maturity”, American Journal of Obstetrics and Gynecology, 1979
- Byng.J.N, Boyd N.F. Fisheld, et al,”The Qualitative analysis of mammography densities”, Physics in Medicine and Biology, 1994
- P.A. Linares, P.J. , N.D McCullagh, J Dornan, “ Feature Selectin for the characteriztion of ultrasonic images of the placenta using texture classification”, IEEE International Symposium on Biomedical Imaging, 2004
- Prof. S.K. shah, V. Gandhi, “ Image Classificatin Based on Textural Features using Artifical Neural Network(ANN), IE(I) Journal-ET, 2004
- M.J. Swain, D.H. Ballard,”Indexing via Color Histograms”, Unversityof Rochester, Rochester
- Y.Rui, T.S. Huang,”Image Retrieval: Current Techniques, Promising Directions and Open Issues”, Illinois, 1999
- Y.Rui, A.C. She, T.S. Huang, “Modified Fourier Descriptor for Shape Representation”, University of Illinois
- R. Swiniarski, L.Hargis, “Rough sets as a front end of neural-networks texture classifiers”, Neurocomputing, 2001
- Robert M. Haralick, K.Shanmugam, Its’Hak Dinstein, “Textural Features for Image Classification”, IEEE Transactions on Systems, Man and Cybernetics, 1973
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