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A Literature Review on Computer Assisted Detection of Follicles in Ultrasound Images of Ovary
by
R.saranya,
S. Uma Maheswari
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 48 - Number 12 |
| Year of Publication: 2012 |
| Authors: R.saranya, S. Uma Maheswari |
10.5120/7403-0350
|
R.saranya, S. Uma Maheswari . A Literature Review on Computer Assisted Detection of Follicles in Ultrasound Images of Ovary. International Journal of Computer Applications. 48, 12 ( June 2012), 38-39. DOI=10.5120/7403-0350
@article{
10.5120/7403-0350,
author = {
R.saranya,
S. Uma Maheswari
},
title = { A Literature Review on Computer Assisted Detection of Follicles in Ultrasound Images of Ovary },
journal = {
International Journal of Computer Applications
},
issue_date = { June 2012 },
volume = { 48 },
number = { 12 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = {
38-39
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume48/number12/7403-0350/
},
doi = { 10.5120/7403-0350 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:55.751273+05:30
%A R.saranya
%A S. Uma Maheswari
%T A Literature Review on Computer Assisted Detection of Follicles in Ultrasound Images of Ovary
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 12
%P 38-39
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Polycystic Ovary Syndrome (PCOS) is a female endocrine disorder which severely distresses women's health. The disorder is characterized by a collection of incomplete developed follicles in the ovaries. Manual analysis of PCOS diagnosis often produces errors. So, in recent years many researchers have been enthusiastically working in automatic detection of PCOS. This paper reviews follicle detection in the ovary ultrasound images by using different techniques.
References
- Sudha, S. Suresh, G. R. and Sukanesh, R. 2009 "Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding based on Weighted Variance" International Journal of Computer Theory and Engineering, Vol. 1, No. 1, PP. (7-12).
- Mariana Carmen Nicolae, 2010 "Comparative Approach for Speckle Reduction in Medical Ultrasound Images", Romanian Journal of Bio-Physics, Vol. 20, No. 1, P P. (13-21).
- Ratha, Jeyalakshmi T. and Ramar, 2010 K. , "A Modified method for Speckle Noise Removal in Ultrasound Medical Images" International Journal of Computer and Electrical Engineering, Vol. 2, No. 1, PP. (54-58).
- Anita Garg, Jyoti Goal, Sandeep Malik, Kavita Choudhary, Deepika, 2011 "De-speckling of Medical Ultrasound Images using Wiener Filter and Wavelet Transform", International Journal of Electronics & Communication Technology, Vol. 2, Issue 3, PP. (21-24). ISSN:2230-9543(Print).
- Karthikeyan, K. Dr. Chandrasekar, C. 2011 "Speckle Noise Reduction of Medical Ultrasound Images using Bayesshrink Wavelet Threshold", International Journal of Computer Applications, Vol. 22, No. 9, PP. (0975 – 8887).
- Milindkumar V. Sarode and Prashant R. Deshmukh, 2011 "Reduction of Speckle Noise and Image Enhancement of Images Using Filtering Technique",International Journal of Advancements in Technology,Vol 2, No. 1,PP. (30-38).
- Alka Vishwa and Shilpa Sharma, 2012 "Speckle noise reduction in ultrasound images by wavelet thresholding",International Journal of Advanced Research in Computer Science and Software Engineering,Vol. 4,No. 6.
- Vijayarajan R. and Muttan. S, 2012 "Cross Neighbourhood Kernel Filtering for Speckle Noise Removal in Ultrasound Images",International Journal of Recent Technology and Engineering, Vol 1,Issue 2,PP. (42-45). ISSN :2277-3878.
- Yinhui Deng, Yuanyuan Wang and Ping Chen, 2008 "Automated Detection of Polycystic Ovary Syndrome from Ultrasound Image", 30th Annual International IEEE Engineering in Medicine and Biology Society Conference Vancouver, British Columbia, Canada, PP. (20-24).
- Hiremath, P. S. and Jyothi R Tegnoor, 2009 "Recognition of Follicles in Ultrasound Images of Ovaries using Geometric Features", Proc. 2nd IEEE International Conference on Biomedical and Pharmaceutical Engineering, PP. 2-4, Singapore, ISBN 978-1-4244-4764-0/09.
- Hiremath, P. S. and Jyothi R. Tegnoor, 2010 "Automatic Detection of Follicles in Ultrasound Images of Ovaries using Edge Based Method", International Journal of Computer Applications Special Issue on Recent Trends in Image Processing and Pattern Recognition PP. (15-16).
- Palak Mehrotra, Chandan Chakraborty, 2011 "Automated Ovarian Follicle Recognition for Polycystic Ovary Syndrome", International Conference on Image Information Processing PP. (1-4).
- Yinhui Deng, Yuanyuan Wang and Yuzhong Shen, 2011 "An Automated Diagnostic System of Polycystic Ovary Syndrome based on Object Growing", Journal of Artificial Intelligence in Medicine, Elsevier Science Publishers Ltd. Essex, UK, Vol. 51 Issue 3, PP. (199-209).
- Hiremath, P. S. and Jyothi Tegnoor, R. 2011 "Automatic Detection of Follicles in Ultrasound Images of Ovaries using Active Contours Method" International Journal Of Service Computing And Computational Intelligence Vol. 1 No. 1, PP. (26-30).
- Mandeep Kaur and Gagandeep Jindal, 2011 "Medical Image Segmentation using Marker Controlled Watershed Transformation",International Journal of Computer Science And Technology,Vol . 2 ,Issue 4,PP. (548-550).
- Jobin Christ M. C. and Parvathi R. M. S,2012 "Segmentation of Medical Image using K-Means Clustering and Marker Controlled Watershed Algorithm", European Journal of Scientific Research, Vol. 71 ,No. 2 , PP. (190-194). ISSN 1450-216X.
Index Terms
Computer Science
Information Sciences
Keywords