COVID-19 localization and recognition on chest radiographs based on Yolov5 and EfficientNet
Author:
Affiliation:
1. College of Finance and Economics,Chongqing,China
2. Southwest University,Jinan,China
3. Tianjin University of Technology and Education,Tianjin,China
4. University of Michigan,Las Vegas,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9778230/9778231/09778327.pdf?arnumber=9778327
Reference12 articles.
1. Automated pulmonary nodule detection in CT images using deep convolutional neural networks;xie;Pattern Recognition,2018
2. Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules
3. Deep learning approaches for COVID-19 detection based on chest X-ray images
4. ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
5. CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
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