Implementation of Convolutional Neural Network for COVID19 Screening using X-Rays Images-Reference-Cited by-同舟云学术

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Implementation of Convolutional Neural Network for COVID19 Screening using X-Rays Images

Published:2023-02-16 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE)
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Author:

Delimayanti Mera Kartika¹,Mardiyono Anggi¹,Warsuta Bambang¹,Puspitaningrum Eka Suci¹,Naryanto Rizqi Fitri²,Naryaningsih Agustien³

Affiliation:

1. Politeknik Negeri Jakarta,Department of Computer and Informatics Engineering,Indonesia

2. Universitas Negeri Semarang,Faculty of Engineering,Department of Mechanical Engineering,Indonesia

3. National Research and Innovation Agency (BRIN),Fisheries Research Center,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10127649/10127667/10127845.pdf?arnumber=10127845

Reference30 articles.

1. Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning

2. On the Problem about Optical Flow Prediction for Silhouette Image

3. Very Deep Convolutional Networks for Large-Scale Image Recognition;simonyan,2015

4. Clustering Algorithm in Possibilistic Exponential Fuzzy C-Mean Segmenting Medical Images

5. The Effect of Feature Selection on Automatic Sleep Stage Classification Based On Multichannel EEG Signals

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accurate Deep Learning-Based Sleep Apnea Detection from Cardiac Physiological Signals;2023 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob);2023-10-10

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