Paper Title
MEDICAL IMAGE ANALYSIS BY USING CNN APPROACH

Abstract
Abstract - Thyroid is an endocrine gland located at the base of the throat anterior to the trachea. The thyroid gland controls the heart rate, blood pressure, body temperature, and basal metabolic rate. During the past several decades, there has been a dramatic increase in the number of people diagnosed with Thyroid Cancer. Thyroid Cancer is a growth of cells that starts in the Thyroid Gland. The four main types of thyroid cancer are “Papillary, Follicular, Medullary, and Anaplastic thyroid cancer”. In this project we use CT (Computed Tomography) scan reports of Thyroid Cancer. The main Aim of our project is to convert the CT scan report into standard JPG format. Generally, Imaging techniques are used to capture anomalies of the human body. The captured images must be understood for diagnosis and treatment planning of the anomalies. Image understanding performed by skilled medical professionals and Convolutional Neural Networks (CNNs) are effective tools for image understanding. So, in our Project to process the medical report we use CNN Algorithm, RELU activation function and also to reduce the noise in image we use the filter called Gaussian. A Gaussian Filter is a low pass filter used for reducing noise and blurring regions of an image. Keywords - Thyroid Cancer, Convolution Neural Network - CNN, Deep Learning Model, Medical Image Analysis