Artificial Intelligence Computer-Assisted Diagnosis for Thyroid Nodules: Comparison of Diagnostic Performance Using Original and Mobile Ultrasonography Images-Reference-Cited by-同舟云学术

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Artificial Intelligence Computer-Assisted Diagnosis for Thyroid Nodules: Comparison of Diagnostic Performance Using Original and Mobile Ultrasonography Images

Published:2023-05-30 Issue:1 Volume:16 Page:111-119
ISSN:2384-3799
Container-title:International Journal of Thyroidology
language:en
Short-container-title:Int J Thyroidol

Author:

Cho Sangwoo¹^ORCID,Lee Eunjung²^ORCID,Lee Hyunju³^ORCID,Lee Hye Sun⁴^ORCID,Yoon Jung Hyun³^ORCID,Park Vivian Youngjean³^ORCID,Rho Miribi³^ORCID,Yoon Jiyoung³^ORCID,Kwak Jin Young³^ORCID

Affiliation:

1. Yonsei University College of Medicine, Seoul, Korea

2. Department of Computational Science and Engineering, Yonsei University, Seoul, Korea

3. Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea

4. Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea

Funder

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Publisher

Korean Thyroid Association

Subject

General Engineering

Link

http://pdf.medrang.co.kr/IJT/2023/016/ijt-16-1-111.pdf

Reference30 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

2. Interobserver and Intraobserver Variations in Ultrasound Assessment of Thyroid Nodules

3. Diagnostic performances and interobserver agreement according to observer experience: a comparison study using three guidelines for management of thyroid nodules

4. Histopathological Image Analysis: A Review

5. Overview of deep learning in medical imaging

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