Deep CNN-LSTM Network Integration for COVID-19 Classification-Reference-Cited by-同舟云学术

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Deep CNN-LSTM Network Integration for COVID-19 Classification

Published:2023-09-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 2nd National Biomedical Engineering Conference (NBEC)
language:
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Author:

Shaari Fatin Nabilah¹,Abdul Nasir Aimi Salihah²,Herng Ooi Wei¹,Mustafa Wan Azani³

Affiliation:

1. Universiti Malaysia Perlis (UniMAP),Faculty of Electrical Engineering & Technology,Arau,Perlis,Malaysia,02600

2. Universiti Malaysia Perlis (UniMAP),Faculty of Electrical Engineering & Technology Centre of Excellence for Sports Engineering (SERC),Arau,Perlis,Malaysia,02600

3. Universiti Malaysia Perlis (UniMAP),Faculty of Electrical Engineering & Technology Centre of Excellence for Advanced Computing (AdvComp),Arau,Perlis,Malaysia,02600

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10352578/10352446/10352632.pdf?arnumber=10352632

Reference24 articles.

1. COVID-19 in Women's health: Epidemiology

2. Biomarkers in Covid-19 Diagnosis

3. COVID-19 Automatic Detection Using Deep Learning

4. A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

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