CNN Models and Machine Learning Classifiers for Analysis of Goiter Disease

A Goiter is an abnormal growth of the thyroid gland. The thyroid is a butterfly-shaped gland located at the base of our neck, right under Adam's apple. Goiter can be diagnosed using a variety of methods, including blood tests, antibody tests, and ultrasonography. In this paper, we describe a technique for detecting Goiter that employs pre-trained CNN models and Machine Learning (ML) classifiers. This method comprises an Artificial Intelligence (AI) algorithm that examines pictures for swelling in the neck and accurately identifies whether it is Goiter or not. We have used three pre-trained feature extracting models: VGG16, InceptionV3, and VGG19. The features are then fed to the distinct ML classifiers such as logistic regression, random forest, support vector machine, KNN, neural network, naive bayes, and adaBoost. The results guarantee an early diagnosis of Goiter illness, allowing the patient to get appropriate treatment.