Araştırma Makalesi

DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING

Cilt: 4 Sayı: 1 26 Nisan 2022
  • Mohammed Khamees Ahmed *
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DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING

Öz

The development of technological tools based on artificial intelligence (AI) could contribute significantly in the fight against COVID-19. AI is the ability of a machine to apply human cognitive functions. In this paper we propose a deep learning based model for COVID-19 detection relying on the effects it yields on the lungs.

Anahtar Kelimeler

Kaynakça

  1. Afshar, P., S. Heidarian, F. Naderkhani, A. Oikonomou, K.N. Plataniotis, and A. Mohammadi. 2020. Covid- caps: a capsule network-based framework for identification of covid-19 cases from x-ray images. arXiv preprint arXiv:2004.02696
  2. Ajlan, A.M., R.A. Ahyad, L.G. Jamjoom, A. Alharthy, and T.A. Madani. 2014. Middle East respiratory syndrome coronavirus (MERSCoV) infection: chest CT findings. Am J Roentgenol 203(4):782– 787
  3. Apostolopoulos, I.D., and T.A. Mpesiana. 2020. Covid-19: automatic detection from x-ray images utilising transfer learning with convolutional neural networks. Phys Eng Sci Med:1
  4. Basile, C., C. Combe, F. Pizzarelli, A. Covic, A. Davenport, M. Kanbay, D. Kirmizis, D. Schneditz, F. van der Sande, and S. Mitra. 2020. Recommendations for the prevention, mitigation and containment of the emerging SARS-CoV-2 (COVID-19) pandemic in haemodialysis centres. Nephrol Dialysis Transplantation 35:737– 741
  5. Chen, S.-F., Y.-C. Chen, C.-K. Yeh, F. Wang, and C. Yu. 2017. Order-free rnn with visual attention for multi- label classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
  6. Diamond, S., V. Sitzmann, S. Boyd, G. Wetzstein, and F. Heide. 2017. Dirty Pixels: Optimizing Image Classification Architectures for Raw Sensor Data. arXiv:1701.06487
  7. Dodge, S., and L. Karam. 2016. Understanding how image quality affects deep neural networks. In: Quality of Multimedia Experience (QoMEX), Eighth International Conference on, IEEE, arXiv:1604.04004v2, pp. 1–6
  8. Hansell, D.M., A.A. Bankier, H. MacMahon, T.C. McLoud, N.L. Muller, and J. Remy. 2008. Fleischner society: glossary of terms for thoracic imaging. Radiology 246(3):697–722

Ayrıntılar

Birincil Dil

Türkçe

Konular

Biyomedikal Mühendisliği

Bölüm

Araştırma Makalesi

Yazarlar

Mohammed Khamees Ahmed * Bu kişi benim
0000-0001-9145-1939
Türkiye

Yayımlanma Tarihi

26 Nisan 2022

Gönderilme Tarihi

21 Nisan 2022

Kabul Tarihi

26 Nisan 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 4 Sayı: 1

Kaynak Göster

APA
Ahmed, M. K. (2022). DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING. Aurum Journal of Health Sciences, 4(1), 25-33. https://izlik.org/JA28SB39HC
AMA
1.Ahmed MK. DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING. Aurum Journal of Health Sciences. 2022;4(1):25-33. https://izlik.org/JA28SB39HC
Chicago
Ahmed, Mohammed Khamees. 2022. “DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING”. Aurum Journal of Health Sciences 4 (1): 25-33. https://izlik.org/JA28SB39HC.
EndNote
Ahmed MK (01 Nisan 2022) DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING. Aurum Journal of Health Sciences 4 1 25–33.
IEEE
[1]M. K. Ahmed, “DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING”, Aurum Journal of Health Sciences, c. 4, sy 1, ss. 25–33, Nis. 2022, [çevrimiçi]. Erişim adresi: https://izlik.org/JA28SB39HC
ISNAD
Ahmed, Mohammed Khamees. “DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING”. Aurum Journal of Health Sciences 4/1 (01 Nisan 2022): 25-33. https://izlik.org/JA28SB39HC.
JAMA
1.Ahmed MK. DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING. Aurum Journal of Health Sciences. 2022;4:25–33.
MLA
Ahmed, Mohammed Khamees. “DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING”. Aurum Journal of Health Sciences, c. 4, sy 1, Nisan 2022, ss. 25-33, https://izlik.org/JA28SB39HC.
Vancouver
1.Mohammed Khamees Ahmed. DETECTION OF COVID-19 PNEUMONIA EFFECTS IN CHEST X-RAYS USING DEEP LEARNING. Aurum Journal of Health Sciences [Internet]. 01 Nisan 2022;4(1):25-33. Erişim adresi: https://izlik.org/JA28SB39HC