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Updated: Jan 25, 2026

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

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St-Swin TransNet:一个基于时空变压器的网络,用于在立体外科视频中进行自我监督的深度估计

Derong Yu1, Wenyuan Sun1, Junchen Wang2

  • 1Institute of Medical Robotics, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, 200240, China.

International journal of computer assisted radiology and surgery
|January 24, 2026
PubMed
概括

这项研究引入了一种新的时空旋转变压器网络 (ST-Swin TransNet),用于在立体腹腔镜视频中准确的深度估计,改善外科导航. 该方法在深度估计和增强现实导航任务方面明显优于现有的方法.

关键词:
深度估计估计的深度.空间时间的swin变压器.立体镜外科手术视频手术导航手术导航手术导航

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