DocumentCode :
3767740
Title :
An automatic ROI extraction technique for Thyroid Ultrasound image
Author :
Deepika Koundal;Rashmi Vishraj;Savita Gupta;Sukhwinder Singh
Author_Institution :
Deptt. of Computer Science and Engineering, UIET, Panjab University-Chandigarh, India
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
The aim of this paper is to develop an automatic Region of Interest (ROI) extraction technique for a thyroid nodule ultrasound image. In this, discontinuity approach of segmentation is used for the automatic generation of Region of Interest. The algorithm needs no human intervention and is completely automatic. The method is validated on Thyroid Nodule Ultrasound images and is compared with other ROI extraction methods. Results prove that the proposed method is more efficient and robust in automatic ROI extraction and can successfully generate 98% true ROI consisting of thyroid nodule for Ultrasound images which is more accurate than other automatic ROI selection methods.
Keywords :
"Image segmentation","Image edge detection","Biomedical imaging"
Publisher :
ieee
Conference_Titel :
Recent Advances in Engineering & Computational Sciences (RAECS), 2015 2nd International Conference on
Type :
conf
DOI :
10.1109/RAECS.2015.7453309
Filename :
7453309
Link To Document :
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