Segmentation of thyroid gland in ultrasound image using neural network

The thyroid gland is highly vascular organ, and lies in the anterior part of the neck just below the thyroid cartilage. Ultrasound imaging is most commonly used to detect and classify abnormalities of the thyroid gland. Other modalities (CT/MRI) are also used. There is a challenge to segment ultrasound medical image which is often blurred and consists of noise as other modalities like CT contains ionizing radiations and expensive. Thus, there is a need to apply a method to automated segment well the objects for future analysis without any assumptions about the object's topology are made. Various methods or techniques are used for automatic segmention of thyroid gand but the application of neural network in image processing provides a better solution to segmentation problem. In this paper we use Feedforward neural network to classify the region using feature extraction and then segment it. Experiment and results are shown.