Tear location detection of meniscus MRI images based on YOLOv5-Reference-Cited by-同舟云学术

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Tear location detection of meniscus MRI images based on YOLOv5

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)
language:
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Author:

Wang Zhuxin¹,Wang Juan¹,Xia Chengyi²

Affiliation:

1. School of Electrical and Electronic Engineering, Tianjin University of Technology,Tianjin Key Laboratory for Control Theory and Complicated Industry Systems,Tianjin,China,300384

2. School of Artificial Intelligence, Tiangong University,Tianjin,China,300384

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10165684/10165785/10166803.pdf?arnumber=10166803

Reference20 articles.

1. Cbam: Convolutional block attention module;woo;Proceedings of the European Conference on Computer Vision (ECCV),0

2. ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

3. Attention is all you need;ashish;Advances in neural information processing systems,2017

4. A ConvNet for the 2020s

5. YOLOv3: an incremental improvement;redmon;Computer Vision and Pattern Recognition,2018

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