International Journal Of Imaging

Abstract

Thyroid Nodule Detection Using Deep Learning Strategies

Author: Pasupunuri Shiva Ganesh, Gajula Harini ,Sarvesh Shambhu , A.Bheem Raj

Abstract:

etection of thyroid nodule is an important part in medical imaging because they occur more often and can be of any form from benign to malignant. If we detect the thyroid nodules in the beginning stages itself we can provide better treatment for the patient. The proposed model helps in thyroid nodules detection by using Convolutional Neural Network(CNN) and classifies thyroid nodules into functional, malignant and benign categories. First step involves loading and preprocessing the pictures dataset. These pictures contain various types of thyroid images collected from various medical imaging methods like ultrasound scanning reports. The images are shrunked, grayscaled and labelled based on file keyword names similar to real world diagnosis classification of medical photographs.The dataset is divided mainly into the training set and the testing set so that model is developed using the training data can be checked for it’s performance by extracting patterns from the testin