IJSDR Research Journal
International Journal of Scientific Development and Research - IJSDR
(An International Open Access Journal)

Issue: October 2019

Volume 4 | Issue 10

Impact factor: 5.47

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: Thyroid Disorder Detection Using Image Segmentation in Medical Images
Unique Id: IJSDR1606041
Published In: Volume 1 Issue 6, June-2016
Abstract: Now-a-days Bio-medical image processing is the most challenging and emerging field in medical diagnosis. Processing of US images is one of the crucial parts of this field. Thyroid is a small butterfly shaped gland located in the front of the neck just below the Adams apple. Thyroid is one of the endocrine gland, which produces hormones that help the body to control metabolism. Different thyroid disorders include Hyperthyroidism, Hypothyroidism, goitre, and thyroid nodules (benign/malignant). Ultrasound imaging is most commonly used to detect and classify abnormalities of the thyroid gland. Other modalities (CT/MRI) are also used. Computer aided diagnosis (CAD) help radiologists and doctors to increase the diagnosis accuracy, reduce biopsy ratio and save their time and effort. Numerous researches have been carried out in thyroid medical images and that are utilized for the diagnosis process. An automatic system is developed that classifies the thyroid images and segments the thyroid nodular area using machine learning algorithms. The thyroid measurement and recognition system is very useful in the medical field because the measurement of thyroid is important for the doctor diagnostic and medical analysis. The objective of this paper is to provide a complete solution to diagnosis the suspicious thyroid region in the thyroid gland. The integral region is further acquired by applying a thresholding method and specific region growing method to potential points. For better diagnosis purpose we can use MATLAB tool. The image undergoes the contrast enhancement to suppress speckle. The enhancement image is used for further processing of segmentation the thyroid region by local region-based active contour. The thyroid region is segmented into two parts, which are right and left with the active contour method separately. This is accordingly to the thyroid have two lobes; right lobe and left lobe. Experimental results of the thyroid region segmentation show high potential of our proposed approach.
Keywords: US (Ultrasonography), CT (Computer Tomography) algorithm, MRI (Magnetic Resonance Imaging), Threshold segmentation
Cite Article: "Thyroid Disorder Detection Using Image Segmentation in Medical Images", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 6, page no.215 - 225, June-2016, Available :http://www.ijsdr.org/papers/IJSDR1606041.pdf
Downloads: 0001440
Publication Details: Published Paper ID: IJSDR1606041
Registration ID:160496
Published In: Volume 1 Issue 6, June-2016
DOI (Digital Object Identifier):
Page No: 215 - 225
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview

Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
DOI (A digital object identifier)

Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media