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基于Swin变压器的超声图像甲状腺结节检测模型

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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

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基于Swin变压器的超声图像甲状腺结节检测模型

DOI:

10.3791/64480-v

•

04:23 min

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April 21, 2023

•

Ye Tian, Jingqiang Zhu, Lei Zhang, Lichao Mou, Xiaoxiang Zhu, Yilei Shi, Buyun Ma, Wanjun Zhao

¹Department of Ultrasonography,West China Hospital of Sichuan University, ²Department of Thyroid Surgery,West China Hospital of Sichuan University, ³MedAI Technology (Wuxi) Co. Ltd.

Chapters

00:05Introduction
00:44Environment Setup
01:44Training the Swin Faster R-CNN
02:25Performing Thyroid Nodule Detection on New Images
03:18Results: Thyroid Nodule Detection in US Images
03:55Conclusion

Summary

자동 번역

该文提出一种超声图像甲状腺结节检测新模型，以Swin变压器为骨干进行远程上下文建模。实验证明，它在灵敏度和准确性方面表现良好。

Tags

Thyroid Nodule Detection Ultrasound Images Swin Transformer Nodule Detection Network PyTorch Miniconda MM Detection SwinFasterRCNN FasterRCNN YOLOv3 SSD RetinaNet DETR NMS Post-processing

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