Araştırma Makalesi

DETECTION OF COVID-19 IN LOW ENERGY CHEST X-RAYS USING FAST R-CNN

Cilt: 4 Sayı: 1 26 Nisan 2022
  • Maryam Kareem Sakran Mamoori
  • Abdullahi Abdu Ibrahim
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DETECTION OF COVID-19 IN LOW ENERGY CHEST X-RAYS USING FAST R-CNN

Öz

In recent years, it has been shown that deep learning can produce similar performance increases in the domain of medical image analysis for object detection and segmentation tasks. Notable recent work includes important medical applications, for example, in the field of pulmonology (classification of lung diseases and detection of pulmonary nodules on CT images in this paper, we present a variation of CNNs, which works extremely well on a current data set — a customized architecture with optimal parameters. In our contribution, we focus on lowering the complexity of our network, while yet reaching a phenomenally high degree of accuracy. To achieve this aim, our model has been tailored for high performance and an easy design.

Anahtar Kelimeler

Kaynakça

  1. Ai, T., Z. Yang, H. Hou, C. Zhan, C. Chen, W. Lv, L. Xia, et. al. 2019. Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology, 2020, 296, 200642.
  2. Alafif, T. 2020. Machine and deep learning towards COVID-19 diagnosis and treatment: survey, challenges, and future directions.
  3. Albahri, O.S., A.A. Zaidan, A.S. Albahri, B.B. Zaidan, K.H. Abdulkareem, Z.T. Al-Qaysi, N.A. Rashid, et. al. 2020. Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects. Journal of infection and public health 13, 1381–1396.
  4. Butt, C.G., J. Chun, and. B.A. Babu. 2020. Deep learning system to screen coronavirus disease 2019 pneumonia. Applied Intelligence, pp 1
  5. Das, N.N., N. Kumar, M. Kaur, V. Kumar, and D. Singh. 2020. Automated deep transfer learning-based approach for detection of COVID-19 infection in chest X-rays.
  6. Dieterle, F.J. 2003. Multianalyte quantifications by means of integration of artificial neural networks, genetic algorithms and chemometrics for time-resolved analytical data.
  7. El Asnaoui, K., and Y. Chawki. 2020. Using X-ray images and deep learning for automated detection of coronavirus disease. Journal of Biomolecular Structure and Dynamics,38, 1-12.
  8. Fang, Y., H. Zhang, J. Xie, M. Lin, L. Ying, P. Pang, and W. Ji. 2020. Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology 2020, 200432

Ayrıntılar

Birincil Dil

Türkçe

Konular

Biyomedikal Mühendisliği

Bölüm

Araştırma Makalesi

Yazarlar

Maryam Kareem Sakran Mamoori Bu kişi benim
0000-0002-0596-2546
Türkiye

Abdullahi Abdu Ibrahim Bu kişi benim
0000-0002-0596-2546
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
Mamoori, M. K. S., & Ibrahim, A. A. (2022). DETECTION OF COVID-19 IN LOW ENERGY CHEST X-RAYS USING FAST R-CNN. Aurum Journal of Health Sciences, 4(1), 34-43. https://izlik.org/JA39NC98CP
AMA
1.Mamoori MKS, Ibrahim AA. DETECTION OF COVID-19 IN LOW ENERGY CHEST X-RAYS USING FAST R-CNN. Aurum Journal of Health Sciences. 2022;4(1):34-43. https://izlik.org/JA39NC98CP
Chicago
Mamoori, Maryam Kareem Sakran, ve Abdullahi Abdu Ibrahim. 2022. “DETECTION OF COVID-19 IN LOW ENERGY CHEST X-RAYS USING FAST R-CNN”. Aurum Journal of Health Sciences 4 (1): 34-43. https://izlik.org/JA39NC98CP.
EndNote
Mamoori MKS, Ibrahim AA (01 Nisan 2022) DETECTION OF COVID-19 IN LOW ENERGY CHEST X-RAYS USING FAST R-CNN. Aurum Journal of Health Sciences 4 1 34–43.
IEEE
[1]M. K. S. Mamoori ve A. A. Ibrahim, “DETECTION OF COVID-19 IN LOW ENERGY CHEST X-RAYS USING FAST R-CNN”, Aurum Journal of Health Sciences, c. 4, sy 1, ss. 34–43, Nis. 2022, [çevrimiçi]. Erişim adresi: https://izlik.org/JA39NC98CP
ISNAD
Mamoori, Maryam Kareem Sakran - Ibrahim, Abdullahi Abdu. “DETECTION OF COVID-19 IN LOW ENERGY CHEST X-RAYS USING FAST R-CNN”. Aurum Journal of Health Sciences 4/1 (01 Nisan 2022): 34-43. https://izlik.org/JA39NC98CP.
JAMA
1.Mamoori MKS, Ibrahim AA. DETECTION OF COVID-19 IN LOW ENERGY CHEST X-RAYS USING FAST R-CNN. Aurum Journal of Health Sciences. 2022;4:34–43.
MLA
Mamoori, Maryam Kareem Sakran, ve Abdullahi Abdu Ibrahim. “DETECTION OF COVID-19 IN LOW ENERGY CHEST X-RAYS USING FAST R-CNN”. Aurum Journal of Health Sciences, c. 4, sy 1, Nisan 2022, ss. 34-43, https://izlik.org/JA39NC98CP.
Vancouver
1.Maryam Kareem Sakran Mamoori, Abdullahi Abdu Ibrahim. DETECTION OF COVID-19 IN LOW ENERGY CHEST X-RAYS USING FAST R-CNN. Aurum Journal of Health Sciences [Internet]. 01 Nisan 2022;4(1):34-43. Erişim adresi: https://izlik.org/JA39NC98CP