Title |
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Authors |
T. Manivannan & Nagarajan Ayyappan*
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Affiliation |
Department of Computer Applications, Alagappa University, Karaikudi, Tamilnadu, India
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T. Manivannan - E-mail: manivannanp147@gmail.com A. Nagarajan – E-mail: nagarajana@alagappauniversity.ac.in;*Corresponding author
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Article Type |
Views
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Date |
Received January 13, 2020; Accepted February 20, 2020; Published February 29, 2020
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Abstract |
Medical imaging using image sensors play an essential role in effective diagnosis. Therefore, it is of interest to use medical imaging techniques for the diagnosis of thyroid-linked dysfunction. Ultrasound is the low-cost image processing technique to study internal organs and blood flow in blood vessels. Digital processed images help to distinguish between normal, benign and malignant tissue stages in organs. Hence, it is of importance to discuss the design and development of a computer-aided image-processing model for thyroid nodule identification, classification and diagnosis.
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Keywords |
Ultrasonography, thyroid nodules, Computer Aided Diagnosis (CAD), feature extraction
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Citation |
Manivannan & Ayyappan, Bioinformation 16(2): 145-148 (2020)
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Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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