Sonographic diagnosis of thyroid cancer with support of AI

Thyroid Imaging Reporting and Data System (TI-RADS): A User’s Guide

(2018) Franklin N. Tessler et al.   RADIOLOGY

Multi-task Cascade Convolution Neural Networks for Automatic Thyroid Nodule Detection and Recognition

(2018) Wenfeng Song et al.   IEEE Journal of Biomedical and Health Informatics

Evaluation of Commonly Used Algorithms for Thyroid Ultrasound Images Segmentation and Improvement Using Machine Learning Approaches

(2018) Prabal Poudel et al.   Journal of Healthcare Engineering

Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study

(2018) Xiangchun Li et al.   LANCET ONCOLOGY

Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network

(2017) Jianning Chi et al.   JOURNAL OF DIGITAL IMAGING

Assessment of Virtual Touch Tissue Imaging Quantification and the Ultrasound Thyroid Imaging Reporting and Data System in Patients With Thyroid Nodules Referred for Biopsy

(2017) Feng Mao et al.   JOURNAL OF ULTRASOUND IN MEDICINE

Diagnostic potential of real-time elastography (RTE) and shear wave elastography (SWE) to differentiate benign and malignant thyroid nodules

(2017) Xiangdong Hu et al.   MEDICINE

Classifier Model Based on Machine Learning Algorithms: Application to Differential Diagnosis of Suspicious Thyroid Nodules via Sonography

(2016) Hongxun Wu et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Meta-analysis of thyroid imaging reporting and data system in the ultrasonographic diagnosis of 10,437 thyroid nodules

(2015) Xi Wei et al.   HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK