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
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-3949
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Copyright: © Institute of Research and Journals
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Published on 2016-03-11 |
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