EARLY DETECTION AND DIAGNOSIS OF THYROID CANCER BASED ON AN ARTIFICIAL INTELLIGENCE MODEL

Zufarova Nargiza Nigmat qizi

Authors

Zufarova Nargiza Nigmat qizi PhD Researcher, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

Keywords:

thyroid cancer, artificial intelligence, machine learning, deep learning, diagnosis, early detection, CNN model

Abstract

Background: Thyroid cancer is the most prevalent endocrine malignancy, and its incidence has increased significantly worldwide over the past two decades. Early detection and accurate diagnosis play a critical role in improving treatment outcomes and survival rates.

Objective: This study aims to develop and evaluate an artificial intelligence (AI)-based model for the early detection and diagnosis of thyroid cancer using clinical, imaging, and cytological data.

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