International Journal of Advance Computational Engineering and Networking (IJACEN)
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  Journal Paper

Paper Title :
Detection Of Thyroid Nodule In Ultrasound Images Using Artificial Neural Network

Author :Priti S.Dhaygude, S.M.Handore

Article Citation :Priti S.Dhaygude ,S.M.Handore , (2016 ) " Detection Of Thyroid Nodule In Ultrasound Images Using Artificial Neural Network " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 61-65, Volume-4,Issue-2

Abstract : Thyroid Gland is a major player in regulating your metabolism. It is one of the largest endocrine glands in the body and it consists of two connected lobes. This gland is found in the neck, below the Adam's apple. The thyroid’s main role in the endocrine system is to regulate your metabolism, which is your body’s ability to break down food and convert it to energy. Food essentially fuels our bodies, and our bodies each “burn” that fuel at different rates. It controls how quickly the body uses energy, makes proteins and controls the body's sensitivity to other hormones. The thyroid keeps your metabolism under control through the action of thyroid hormone. It produces hormones that performs regulation of growth and rate of function of many other systems. These hormones are named as triiodothyronine and thyroxine. There are various thyroid disorders like Hypothyroidism, Hyperthyroidism, goiter and thyroid nodules (benign/malignant).Different modalities that are used to identify and classify abnormalities of the thyroid gland are Ultrasound imaging ,Computer Tomography(CT),Magnetic Resonance Imaging(MRI) and Computer Aided Diagnosis (CAD).CAD help radiologists and doctors to improve the diagnosis accuracy, reduce biopsy ratio and save their time and effort. Medical image analysis has played an important role in many clinical procedures for detecting different types of human diseases. Thyroid medical images are utilized for the diagnosis process. Keywords— CAD, Ultrasound, ANN, feature Extraction, Segmentation.

Type : Research paper

Published : Volume-4,Issue-2


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