Explore content
Articles by subject
Current issue
Browse issue
About the journal
Journal Staff
About the Editors
Editorial policies
History of PringMa
Publish with us
For Authors
For Referees
For Editors
For Conference Organizers
Submit manuscript
Author & Researcher services
Reprints & permissions
Language editing
Scientific editing
Legal & Privacy
Privacy Policy
Open access
Legal notice
Pringma portfolio
Advertising
Partnerships & Services
Contact
首页
>
首页文章
Predicting Malignancy in Sonographic Features of Thyroid Nodules Using Convolutional Neural Networks ResNet50 Model
作者：Jingfang Dong, MD, Jianyun Wang, MD, Xiangzhu Wang, MD
发布时间：2023-04-16
点击数：
加入收藏
上一篇：
Application of Ultrasound-guid
下一篇：
Application and Progress of Ul
返回列表
随便看看
Characterization of Pseudomyxoma Peritonei Originating from Ovarian Borderline Mucinous Tumor Using
A Misdiagnosed Cervical Vagal Schwannoma: A Case Report and Review of Its Imaging Features and Diffe
Multimodal Vascular Ultrasound Findings in A Young Female with Internal Carotid Artery Dissection
Clinical Application of Robot-assisted Teleultrasound
Benign Cystic Teratoma of Maldescended Ovary: a Rare Ultrasound Case Report
Ultrasound Assessment of Effect of Maternal Thyroid Function During Pregnancy on Fetal and Neonatal
Tietze Syndrome in A Female POST-COVID-19 Infection: A Review of Current Understanding and Ultrasoun
Preoperative Diagnosis of Thyroid Follicular Tumor
Artificial Intelligence in Ultrasound Imaging: A Review of Progress from Machine Learning to Large L
Contrast-enhanced Ultrasound LI-RADS for Nonradiation Treatment Response Assessment in Liver Tumor:
产品推荐
标签arclist报错：指定属性 typeid 的栏目ID不存在。
