MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images

Author:

Canayaz MuratORCID

Funder

Van Yuzuncu Yıl University

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference34 articles.

1. E.E.D. Hemdan, M.A. Shouman, M.E. Karar, COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images. (2020) arXiv preprint arXiv:2003.11055.

2. COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches;Toğaçar;Comput. Biol. Med.,2020

3. Z. Jianpeng, X. Yuton, L. Yi, S. Chunhua, X. Yong, COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection. (2020) arXiv preprint arXiv:2003.12338.

4. A. Parnian, H. Shahin, N. Farnoosh, O. Anastasia, P. Konstantinos, M. Arash, COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images. (2020). arXiv preprint arXiv:2004.02696.

5. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks;Apostolopoulos;Phys. Eng. Sci. Med.,2020

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