[HTML][HTML] 2021 Korean thyroid imaging reporting and data system and imaging-based management of thyroid nodules: Korean Society of Thyroid Radiology consensus …
EJ Ha, SR Chung, DG Na, HS Ahn… - Korean journal of …, 2021 - ncbi.nlm.nih.gov
Incidental thyroid nodules are commonly detected on ultrasonography (US). This has
contributed to the rapidly rising incidence of low-risk papillary thyroid carcinoma over the last …
contributed to the rapidly rising incidence of low-risk papillary thyroid carcinoma over the last …
Performance of five ultrasound risk stratification systems in selecting thyroid nodules for FNA
M Castellana, C Castellana, G Treglia… - The Journal of …, 2020 - academic.oup.com
Context Ultrasound (US) risk stratification systems (RSSs) have been developed to reduce
the number of unnecessary fine-needle aspiration procedures (FNA) in patients with thyroid …
the number of unnecessary fine-needle aspiration procedures (FNA) in patients with thyroid …
2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS
JQ Zhou, LX Yin, X Wei, S Zhang, YY Song, BM Luo… - Endocrine, 2020 - Springer
Thyroid nodules are very common all over the world, and China is no exception. Ultrasound
plays an important role in determining the risk stratification of thyroid nodules, which is …
plays an important role in determining the risk stratification of thyroid nodules, which is …
Management of thyroid nodules seen on US images: deep learning may match performance of radiologists
Background Management of thyroid nodules may be inconsistent between different
observers and time consuming for radiologists. An artificial intelligence system that uses …
observers and time consuming for radiologists. An artificial intelligence system that uses …
A generic deep learning framework to classify thyroid and breast lesions in ultrasound images
Breast and thyroid cancers are the two common cancers to affect women worldwide.
Ultrasonography (US) is a commonly used non-invasive imaging modality to detect breast …
Ultrasonography (US) is a commonly used non-invasive imaging modality to detect breast …
Challenges related to artificial intelligence research in medical imaging and the importance of image analysis competitions
In recent years, there has been enormous interest in applying artificial intelligence (AI) to
radiology. Although some of this interest may have been driven by exaggerated …
radiology. Although some of this interest may have been driven by exaggerated …
Using artificial intelligence to revise ACR TI-RADS risk stratification of thyroid nodules: diagnostic accuracy and utility
Background Risk stratification systems for thyroid nodules are often complicated and
affected by low specificity. Continual improvement of these systems is necessary to reduce …
affected by low specificity. Continual improvement of these systems is necessary to reduce …
Update on ACR TI-RADS: Successes, Challenges, and Future Directions, From the AJR Special Series on Radiology Reporting and Data Systems
JK Hoang, WD Middleton… - American Journal of …, 2021 - Am Roentgen Ray Soc
The American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-
RADS) is an ultrasound-based risk stratification system (RSS) for thyroid nodules that was …
RADS) is an ultrasound-based risk stratification system (RSS) for thyroid nodules that was …
Artificial intelligence in thyroid ultrasound
CL Cao, QL Li, J Tong, LN Shi, WX Li, Y Xu… - Frontiers in …, 2023 - frontiersin.org
Artificial intelligence (AI), particularly deep learning (DL) algorithms, has demonstrated
remarkable progress in image-recognition tasks, enabling the automatic quantitative …
remarkable progress in image-recognition tasks, enabling the automatic quantitative …
Diagnosis of thyroid nodules: performance of a deep learning convolutional neural network model vs. radiologists
Computer-aided diagnosis (CAD) systems hold potential to improve the diagnostic accuracy
of thyroid ultrasound (US). We aimed to develop a deep learning-based US CAD system …
of thyroid ultrasound (US). We aimed to develop a deep learning-based US CAD system …