Abstract
Image processing techniques are extensively used for diagnosis of several diseases. This review paper describes the application of image processing techniques for diagnosis of Thyroid disorders. Thyroid disorders are most common among all the endocrine diseases in India. Recent advances in thyroid imaging have considerably improved the diagnosis, treatment, follow-up and prognosis of high prevalence thyroid disorders such as thyroid nodule, goiter, thyroiditis and thyroid cancer that affect the normal thyroid function. Thyroid diagnosis using image processing techniques involves image pre-processing, ROI definition, image segmentation, feature extraction, feature selection, classification and post-processing. In this paper, a broad review of various image processing techniques applied to medical images in order to enhance the thyroid disease diagnosis is presented.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Applied Research on Information Technology and Computing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
