Thyroid Cancer Detection using Deep Neural Network

Abstract

The thyroid gland which is also known as the butterfly gland due to its butterfly shaped. It makes the triiodothyronine (T3) and thyroxine (T4) hormones, which operates as chemical 'messengers', travelling through the bloodstream to all the cells and tissues in the body and maintaining the speed at which our body works, which is also called ‘metabolism’. In some people, the thyroid gland doesn't work properly. An underactive thyroid gland can lead to too little thyroid hormone being made, which is called hypothyroidism. Others can have an overactive thyroid gland, where thyroid hormone levels are too high, which is called hyperthyroidism. These are the two main types of thyroid disease. Hypothyroidism causes the body's metabolism to slow down. Weight gain, weariness, memory issues, movements and thoughts, sluggish speech, anxiety, and concentration problems are all possible symptoms. Hyperthyroidism, on the other hand, causes the body's metabolism to speed up. This causes a variety of symptoms, including a racing heartbeat, weight loss, diarrhoea, thirst, feeling sweaty and trembling, feeling excessively hot, and so on. There are ample of techniques through which this can be solved, which includes machine learning and deep learning techniques. The main aim of the paper is to find a novel accuracy which could be used by the researchers using deep neural network.