An ensemble learning based approach to autonomous COVID19 detection using transfer learning with the help of pre-trained Deep Neural Network models

Author:

Noor Faiza Anan1,Munzerin Ishrakul1,Iqbal A.M Asif1,Islam Tanima1,Hossain Emam1

Affiliation:

1. Ahsanullah University of Science & Technology,dept.of CSE,Dhaka,Bangladesh

Publisher

IEEE

Reference18 articles.

1. An ensemble deep transfer-learning approach to identify COVID-19 cases from chest X-ray images

2. Very deep convolutional networks for large-scale image recognition;karen;arXiv preprint arXiv 1409 1556,2014

3. Going deeper with convolutions;christian;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2015

4. Densely connected convolutional networks;gao;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

5. Automatic detection of coronavirus disease (covid19) using x-ray images and deep convolutional neural networks. arxiv 2020;narin;arXiv preprint arXiv 2003 10874,2003

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3. A Multimodal Approach Utilizing the IOMT to Address both the Pandemic and its Aftermath;2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET);2023-11-23

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