Paper Title
THYROID CANCER DETECTION USING DEEP LEARNING TECHNIQUES

Abstract
Abstract - This paper introduces an effective diagnostic strategy for thyroid cancer using a CNN based deep learning model. A user-friendly Flask web application facilitates secure transmission of medical reports, including thyroid images, for precise analysis. The CNN demonstrates high accuracy in predicting thyroid cancer severity levels, offering healthcare professionals clear and timely insights for informed decision-making in intervention and treatment planning. This approach signifies a significant step forward in leveraging CNN technology for enhanced thyroid cancer detection. Keywords - Thyroid Cancer, Convolution Neural Network, Deep Learning Model, Decision Making, Severity Level.