Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{145033,
        author = {KIRAN KORE and KURVA THIRUPATHANNA and BANOTH RAMU NAYAK and MANDLA HARIPRIYA},
        title = {A REVIEW ON THYROID SEGMENTATION AND VOLUME ESTIMATION USING IMAGE PROCESSING},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {7},
        pages = {39-43},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145033},
        abstract = {Thyroid is one of the endocrine organs which are little butterfly fit as a fiddle. It situated in the front of the neck just beneath the Thyroid cartilage and produces hormones that assistance the body to control the digestion. There are diverse sorts of thyroid issue which incorporate Hypothyroidism, Hyperthyroidism, goiter, and thyroid knobs (kindhearted/threatening). To distinguish and group variations from the norm of the thyroid organ, ultrasound imaging is most regularly utilized. The target of this outline is to give finish data about the estimation of the volume of the thyroid organ specifically from US pictures. This diagram concentrated on the assessment of the thyroid volume. The utilization nourish forward back engendering impartial system is utilized to group squares of the thyroid organ. The vital district which is additionally procured by applying a particular area developing technique to potential focuses. The parameters for assessing the thyroid volume is estimation utilizing a mix of KNN classifier with change based match point figuring.},
        keywords = {Feed Forward Back Propagation Neural Network; Thyroid Segmentation; Region Growing; KNN Classifier. },
        month = {},
        }