Classification of Ultrasoud Thyroid Nodule Using Feed Forward Neural Network

Presently, one of the main issues to create challenges in medicine sciences by developing technology is the disease diagnosis with high accuracy. An automatic system is developed that classifies the thyroid nodule images using machine learning algorithms. Ultrasound imaging is the best way to prediction of which type of thyroid is there. Ultrasound thyroid Nodules images were distinguishing in two groups Benign (non-cancerous) and Malignant (cancerous). Artificial Neural Networks (ANNs) are considered as the best solutions to achieve this goal and involve in widespread researches to diagnose the diseases. In this paper, we consider a Feed Forward Multi-layer Perception (MLP) ANN using back propagation learning algorithm to classify Thyroid disease.