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Thyroid Nodule Ultrasound Image Classification Through Hybrid Feature Cropping Network

  • Published:2020 Issue: Volume:8 Page:64064-64074
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Song RuoningORCID,Zhang LongORCID,Zhu ChuangORCID,Liu JunORCID,Yang JieORCID,Zhang TongORCID

Funder

Beijing Natural Science Foundation

Research Foundation of Science and Technology Department of Hunan Province, China

Research Foundation of Hunan Health Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 41 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. Thyroid-DETR: Thyroid nodule detection model with transformer in ultrasound images;Biomedical Signal Processing and Control;2024-12

2. A Thyroid Nodule Detection Using L1‐Norm Inception Deep Neural Network;Integrating Metaheuristics in Computer Vision for Real‐World Optimization Problems;2024-07-31

3. Hybrid deep learning assisted multi classification: Grading of malignant thyroid nodules;International Journal for Numerical Methods in Biomedical Engineering;2024-05-12

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

5. A segmentation-based algorithm for classification of benign and malignancy Thyroid nodules with multi-feature information;Biomedical Engineering Letters;2024-04-07
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