Automatic Thyroid Nodule Detection in Ultrasound Imaging With Improved YOLOv5 Neural Network-Reference-Cited by-同舟云学术

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Automatic Thyroid Nodule Detection in Ultrasound Imaging With Improved YOLOv5 Neural Network

Published:2024 Issue: Volume:12 Page:22662-22670
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yang Daqing¹,Xia Jianfu¹,Li Rizeng¹,Li Wencai¹,Liu Jisheng¹^ORCID,Wang Rongjian¹^ORCID,Qu Dong²^ORCID,You Jie³^ORCID

Affiliation:

1. Department of General Surgery, The Second Affiliated Hospital of Shanghai University (Wenzhou Central Hospital), Wenzhou, China

2. Department of Radiology, The Second Affiliated Hospital of Shanghai University (Wenzhou Central Hospital), Wenzhou, China

3. Department of Thyroid Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

Funder

Basic Research Project of Wenzhou City

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10430222.pdf?arnumber=10430222

Reference43 articles.

1. World cancer report: Cancer research for cancer prevention;Wild,2020

2. Thyroid cancer mortality and incidence: A global overview

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

4. Observer variability in the sonographic evaluation of thyroid nodules

5. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: What is new and what has changed?

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