COVID-19 detection based on Computer Vision and Big Data
Author:
Affiliation:
1. University of Wisconsin - Madison,Madison,United States
2. Northern Arizona University,Arizona,United States
3. Hangzhou Dianzi University,Hangzhou,China
4. The University of Berkeley,Berkeley,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9778230/9778231/09778429.pdf?arnumber=9778429
Reference12 articles.
1. A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset
2. MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection
3. Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
4. Lung cancer detection from CT image using improved profuse clustering and deep learning instantaneously trained neural networks
5. Path Aggregation Network for Instance Segmentation
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1. New Artificial Intelligence-based Methods for COVID-19 Diagnosis using Medical Devices;2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2023-08-23
2. From Radiography to Diagnosis: Detecting COVID-19 with Cutting-Edge CT Scans and X-ray Imaging;2023 11th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP);2023-04-28
3. TFA-CLSTMNN: Novel convolutional network for sound-based diagnosis of COVID-19;International Journal of Wavelets, Multiresolution and Information Processing;2022-12-19
4. A Dense Layer Stacked CMT-DenseNet Fusion Model for COVID Detection;2022 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM);2022-12-12
5. Comparison between Grad-CAM and EigenCAM on YOLOv5 detection model;2022 International Symposium on Electronics and Smart Devices (ISESD);2022-11-08
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