Original paper
Thyroid nodules risk stratification through deep learning based on ultrasound images
Abstract
Purpose Clinically, the risk stratification of thyroid nodules is usually used to formulate the next treatment plan. The American College of Radiology (ACR) thyroid imaging reporting and data system (TI‐RADS) is a type of medical standard widely used in classification diagnosis. It divides the nodule’s ACR TI‐RADS level into five levels by quantitative scoring, from benign to high suspicion of malignancy. However, such assessment often relies on...
Paper Details
Title
Thyroid nodules risk stratification through deep learning based on ultrasound images
Published Date
Nov 14, 2020
Journal
Volume
47
Issue
12
Pages
6355 - 6365
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Notes
History