A Deep Learning Approach for Recognizing Covid-19 from Chest X-ray using Modified CNN-BiLSTM with M-SVM-Reference-Cited by-同舟云学术

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A Deep Learning Approach for Recognizing Covid-19 from Chest X-ray using Modified CNN-BiLSTM with M-SVM

Published:2022-07-20 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)
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Author:

Sikder Juel¹,Datta Nippon¹,Tripura Dhonita¹

Affiliation:

1. Rangamati Science & Technology University,dept. of Computer Science and Engineering,Rangamati,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9872524/9872533/09872776.pdf?arnumber=9872776

Reference30 articles.

1. Towards an effective and efficient deep learning model for COVID-19 patterns detection in X-ray images

2. Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays

3. COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data

4. DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach

5. Deep learning-based detection for COVID-19 from chest CT using weak label;zheng;medRxiv,2020

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. Rapid and Precise Identification of COVID-19 through Segmentation and Classification of CT and X-ray Images;Sakarya University Journal of Computer and Information Sciences;2023-08-31

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