A Deep Learning Based Covid-19 Detection Framework-Reference-Cited by-同舟云学术

A Deep Learning Based Covid-19 Detection Framework

Published:2021-07-15 Issue: Volume: Page:
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Container-title:2021 1st International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS)
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Author:

Jibril Faiza¹,Adeshina Steve A.¹,Nnanna Agwu A.¹

Affiliation:

1. Nile University of Nigeria,Computer Science Department,Abuja,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9692074/9692302/09739806.pdf?arnumber=9739806

Reference21 articles.

1. Covid-GAN Auxilliary classifier GAN for improved covid-19 detection;waheed;IEEE,2020

2. Within the Lack of Chest COVID-19 X-ray Dataset:A Novel Detection Model Based on GAN and Deep Transfer Learning;loey;Symmetry,2020

3. Generative adversarial network based data augmentation to improve cervical cell classification model

4. Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

5. Accurate Prediction of COVID-19 using Chest X-Ray Images through Deep Feature Learning model with SMOTE and Machine Learning Classifiers;kumar;medRxiv,2020

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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. Identification and Localization of COVID-19Abnormalities on Chest Radiographs using Computer Vision;2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS);2023-02-09