Review of Segmentation of Thyroid Gland in Ultrasound Image using Neural Network
Mandeep Kaur and Deepinder Singh. Article: Review of Segmentation of Thyroid Gland in Ultrasound Image using Neural Network. IJCA Proceedings on International Conference on Advancements in Engineering and Technology ICAET 2015(11):14-18, August 2015. Full text available. BibTeX
@article{key:article,
author = {Mandeep Kaur and Deepinder Singh},
title = {Article: Review of Segmentation of Thyroid Gland in Ultrasound Image using Neural Network},
journal = {IJCA Proceedings on International Conference on Advancements in Engineering and Technology},
year = {2015},
volume = {ICAET 2015},
number = {11},
pages = {14-18},
month = {August},
note = {Full text available}
}
Abstract
The thyroid gland is highly vascular organ and it lies in the interior part of the neck just below the thyroid cartilage. In medical organization,there are many ways to detect the affected interior part of the thyroid gland like CT/MRI and ultrasound imaging. But CT/MRI are expensive techniques as compare to US images. But US images are blurred and consist of noise. In the existing method,to segment the thyroid gland in US images feed forward neural network techniques can be uesd. In the proposed method,we can improve the US images a new technique will be used.
References
- Hitesh garg & alka jindal, Segmentation of Thyroid gland in Ultrasound Image using neural network. chandigarh, india, 2013.
- sheeja agustin A et al, Thyroid Classification as Normal and Abnormal using SCG based Feed Forward Back Propagation Neural Network Algorithm. , 2013.
- Dimitris K. Iakovidis, Ioannis Legakis, and Dimitris Maroulis, Michalis A. Savelonas, active contours guided by echogenicity and texture for delineation of thyroid nodules in ultrasound images. , 2009.
- Dimitris K. Iakovidis, Ioannis Legakis, and Dimitris Maroulis, Michalis A. Savelonas, active contours guided by echogenicity and texture for delineation of thyroid nodules in ultrasound images. , 2009.
- Wei Zheng, Li Zhang and Hua Tian Jie Zhao, segmentation of ultrasound images of thyroid nodules for assisting fine needle aspiration cytology. , 2012.
- Yue-Fong Lei, Chin-Hsiao Tseng, and Shyang-Rong Shih Chuan-Yu Chang, thyroid segmentation and volume estimation in ultrasound images. , 2010.
- b. gopinath & Dr B. R. Gupta, Majority Voting based Classification of Thyroid Carcinoma. india, 2010.
- en. wikipedia. org/wiki/Image_segmentation.
- en. wikipedia. org/wiki/Artificial_neural_network.
- Michael Holdmann, and Maher Rizkalla Ahdy Helmy,. , 2008.
- Michalis A. Savelonas,Stavros A. Karkanis & Dimitris E. Maroulis Dimitris K. Iakovidis, A genetically optimized level set approach to segmentation of thyroid ultrasound image. greece, 2007.
- Michalis A. Savelonas, Dimitris K. Iakovidis ,Stavros A. Karkanis and Nikos Dimitropoulos Dimitris E. Maroulis, variable background contour active model for computer-aided delineation of nodules in thyroid ultrasound images, 2007.
- Dieter A. Hahn, Rainer Linke,Tamme W. Goecke, Joachim Hornegger and Torsten Kuwert Eva N. K. Kollorz, quantification of thyroid volume usin 3-D ultrasound imaging. , 2008.
- Dimitris Maroulis ,Dimitris K. Iakovidis ?ND Eystratios G. Keramidas, A thyroid nodule detection system for analysis of ultrasound images and videos, 2010.