Artificial Intelligence (AI) Tools for Thyroid Nodules on Ultrasound, From the <i>AJR</i> Special Series on AI Applications-Reference-Cited by-同舟云学术

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Artificial Intelligence (AI) Tools for Thyroid Nodules on Ultrasound, From the AJR Special Series on AI Applications

Published:2022-10 Issue:4 Volume:219 Page:547-554
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Wildman-Tobriner Benjamin¹,Taghi-Zadeh Elmira¹,Mazurowski Maciej A.¹²³⁴

Affiliation:

1. Department of Radiology, Duke University, 2301 Erwin Rd, Box 3808, Durham, NC 27710.

2. Department of Biostatistics and Bioinformatics, Duke University, Durham, NC.

3. Department of Electrical and Computer Engineering, Duke University, Durham, NC.

4. Duke Center for Artificial Intelligence in Radiology, Duke University, Durham, NC.

Publisher

American Roentgen Ray Society

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://www.ajronline.org/doi/pdf/10.2214/AJR.22.27430

Reference35 articles.

1. Applications of machine learning and deep learning to thyroid imaging: where do we stand?

2. Artificial Intelligence in Thyroid Field—A Comprehensive Review

3. Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images

4. Multimodal Recurrent Model with Attention for Automated Radiology Report Generation

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

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Counterfactual condition diffusion with continuous prior adaptive correction for anomaly detection in multimodal brain MRI;Expert Systems with Applications;2024-11

2. Combining Image Similarity and Predictive Artificial Intelligence Models to Decrease Subjectivity in Thyroid Nodule Diagnosis and Improve Malignancy Prediction;Endocrine Practice;2024-08

3. Artificial Intelligence in Ultrasound Imaging: Where Are We Now?;Ultrasound Quarterly;2024-06

4. Deep learning: Integrating artificial intelligence into the sonography curriculum;Sonography;2024-05-24

5. From Bench-to-Bedside: How Artificial Intelligence is Changing Thyroid Nodule Diagnostics, a Systematic Review;The Journal of Clinical Endocrinology & Metabolism;2024-04-29

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