Real-world applications of deep convolutional neural networks in diagnostic cancer imaging

Hesham Elhalawani, Pei Yang, Mohamed Abazeed, Chirag Shah, Abdallah S. R. Mohamed, Charles R. Thomas Jr, Clifton D. Fuller, Reid F. Thompson

Abstract

Ultrasound is integral to the management of thyroid nodules. However, the interpretation of thyroid ultrasound studies is time- and training-intensive and has inherent inter-observer inconsistencies, resulting in a decrement in its positive predictive value (1). Compounding these limitations, fine-needle aspiration (FNA) yields 15% to 30% cytologically indeterminate nodules, which often leads to unnecessary diagnostic surgeries (2).