抽象的な

Diagnosis of Hypo and Hyperthyroid Using MLPN Network

Valanarasi Antony Santiagu Vaz

Disorder in thyroid gland is one of the most common diseases. More than one third of population even children is found to have at least one thyroid nodule disorder during their lifetime. Thyroid detection test is usually done by two methods; invasive and non-invasive. Invasive methods like Thyroid Function Tests (TFTs), biopsy is traumatic methods and non-invasive methods like ultrasound and x-rays should not be used many times. TFTs are a collective term for blood tests used to check the function of the thyroid. TFTs may be requested if a patient is thought to suffer from hyperthyroidism or hypothyroidism. Thermal Imaging is a technology that creates and analyses image by detecting the heat radiating from an object. A hyperactive thyroid gland is a centre of increased blood flow and chemical activity, so it is a center of heat production that can be detected by thermal sensing. Temperature can be sensed using thermal camera with thermal sensitivity of 0.10C with temperature range -200C to +1200C. This paper gives a survey of the methods used for the diagnosis of thyroid disorder and classification using MLPN.