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Automatic Feature Recovery and Lymph Node Detection Network for Dual-mode Ultrasound Images

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Please star this project in the upper right corner and cite this paper blow if this project helps you.

LNDNet

This repository is the source codes for the paper "LNDNet: ".

LNDNet (Lymph Node Detection Network) is a .

GA Fig.1 Graphical abstract.

Contributions

  • xxx

Dataset Sample

Trained Weights

Quick Start

Detect Lymph Node on Untrasound Images

Train Network

Contributors

CDNet is authored by Zhengde Zhang, Menglu Tan, Zhicai Lan, Haichun Liu, Ling Pei and Wenxian Yu.

Currently, it is maintained by Menglu Tan ([email protected]).

Acknowledgement

We are very grateful to the yolov5 project for the benchmark detection algorithm.

Citation

@article{LNDNet,
author={Zheng-De Zhang, Meng-Lu Tan, Zhi-Cai Lan, Hai-Chun Liu, Ling Pei and Wen-Xian Yu},
title={CDNet: a real-time and robust crosswalk detection network on Jetson nano based on YOLOv5},
Journal={Neural Computing and Applications}, 
Year={2022},
DOI={10.1007/s00521-022-07007-9},
}

License

LNDNet is freely available for free non-commercial use, and may be redistributed under these conditions.

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Automatic Feature Recovery and Lymph Node Detection Network for Dual-mode Ultrasound Images

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