A machine-learning algorithm for distinguishing malignant from benign indeterminate thyroid nodules using ultrasound radiomic features-Reference-Cited by-同舟云学术

A machine-learning algorithm for distinguishing malignant from benign indeterminate thyroid nodules using ultrasound radiomic features

Published:2022-05-26 Issue:03 Volume:9 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Keutgen Xavier M.¹,Li Hui²,Memeh Kelvin¹,Conn Busch Julian¹,Williams Jelani¹,Lan Li²,Sarne David³,Finnerty Brendan⁴,Angelos Peter¹,Fahey Thomas J.⁴,Giger Maryellen L.²

Affiliation:

1. The University of Chicago Medicine, Endocrine Surgery Research Program, Division of General Surgery

2. The University of Chicago, Department of Radiology, Chicago, Illinois

3. The University of Chicago Medicine, Division of Endocrinology, Department of Medicine, Chicago, Illi

4. New York Presbyterian Hospital—Weill Cornell Medicine, Endocrine Oncology Research Program, Division

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

Reference40 articles.

1. Annual financial impact of well-differentiated thyroid cancer care in the United States

2. Increases in thyroid nodule fine-needle aspirations, operations, and diagnoses of thyroid cancer in the United States

3. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: What is new and what has changed?

4. ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee

5. Reducing the Number of Unnecessary Thyroid Biopsies While Improving Diagnostic Accuracy: Toward the “Right” TIRADS

Cited by 12 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. From Bench-to-Bedside: How Artificial Intelligence is Changing Thyroid Nodule Diagnostics, a Systematic Review;The Journal of Clinical Endocrinology & Metabolism;2024-04-29

2. A systematic review of machine learning based thyroid tumor characterisation using ultrasonographic images;Journal of Ultrasound;2024-03-27

3. An Improved k‐Nearest Neighbor Algorithm for Recognition and Classification of Thyroid Nodules;Journal of Ultrasound in Medicine;2024-02-23

4. UltraCytomic: A cross-scale exploration to improve risk estimation of the malignant thyroid nodule;2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM);2023-11-15

5. The performance of deep learning on thyroid nodule imaging predicts thyroid cancer: A systematic review and meta-analysis of epidemiological studies with independent external test sets;Diabetes & Metabolic Syndrome: Clinical Research & Reviews;2023-11