A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images-Reference-Cited by-同舟云学术

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A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images

Published:2021-06-30 Issue:3 Volume:72 Page:217-225
ISSN:2299-8306
Container-title:Endokrynologia Polska
language:
Short-container-title:

Author:

Zhao Hong-bo,Liu Chang,Ye Jing,Chang Lu-fan,Xu Qing,Shi Bo-wen,Liu Lu-lu,Yin Yi-li,Shi Bin-bin

Publisher

VM Media SP. zo.o VM Group SK

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism

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. Multi-Model Deep Learning Framework for Thyroid Cancer Classification Using Ultrasound Imaging;International Conference on Information Systems Development;2024-09-09

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

4. A study of machine learning models for rapid intraoperative diagnosis of thyroid nodules for clinical practice in China;Cancer Medicine;2024-01-08

5. Deep Learning Empowered Decision Support Systems for Thyroid Cancer Detection and Management;Procedia Computer Science;2024

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