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Published in:

Volume 7 Issue 3
March-2020
eISSN: 2349-5162

Unique Identifier

JETIRDP06005

Page Number

18-20

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Title

SEGMENTATION OF THYROID NODULES

ISSN

2349-5162

Cite This Article

"SEGMENTATION OF THYROID NODULES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 3, page no.18-20, March-2020, Available :http://www.jetir.org/papers/JETIRDP06005.pdf

Abstract

Ultrasound is an clear procedure that interpret the internal structure of an organ. It is an unique method that provides most important, rapid and clear evaluation in every means. Due to the presence of an unwanted noise in an image it is an challenging task to segmenting an image. So in this work we introduce an effective method to segment the image and find out the problem more clear. Ultrasound image is the most common method that used nowdays because of its imaging technique and the visibility of the internal structure of an organ. The medical reports usually offer quantitate analysis of data due to the changes in prior study. Henceforth it is important to give information about an image based upon its size and shape. Image segmentation is the most common tools that used in processing the medical image. Different algorithms that are used to segment the ultrasound image and for further classification.

Key Words

SEGMENTATION OF THYROID NODULES

Cite This Article

"SEGMENTATION OF THYROID NODULES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp18-20, March-2020, Available at : http://www.jetir.org/papers/JETIRDP06005.pdf

Publication Details

Published Paper ID: JETIRDP06005
Registration ID: 230038
Published In: Volume 7 | Issue 3 | Year March-2020
DOI (Digital Object Identifier):
Page No: 18-20
ISSN Number: 2349-5162

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Cite This Article

"SEGMENTATION OF THYROID NODULES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp18-20, March-2020, Available at : http://www.jetir.org/papers/JETIRDP06005.pdf




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