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

Maryam Kareem Sakran Mamoori; Abdullahi Abdu Ibrahim

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

Abstract

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.

Keywords

References

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Details

Primary Language

Turkish

Subjects

Biomedical Engineering

Journal Section

Research Article

Authors

Maryam Kareem Sakran Mamoori This is me
0000-0002-0596-2546
Türkiye

Abdullahi Abdu Ibrahim This is me
0000-0002-0596-2546
Türkiye

Publication Date

April 26, 2022

Submission Date

April 21, 2022

Acceptance Date

April 26, 2022

Published in Issue

Year 2022 Volume: 4 Number: 1

IZ

https://izlik.org/JA39NC98CP

Cite

RIS / Bibtex

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. AJHS-A. J. Health. Sci. 2022;4(1):34-43. https://izlik.org/JA39NC98CP

Chicago

Mamoori, Maryam Kareem Sakran, and 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 (April 1, 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 and A. A. Ibrahim, “DETECTION OF COVID-19 IN LOW ENERGY CHEST X-RAYS USING FAST R-CNN”, AJHS-A. J. Health. Sci., vol. 4, no. 1, pp. 34–43, Apr. 2022, [Online]. Available: 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 (April 1, 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. AJHS-A. J. Health. Sci. 2022;4:34–43.

MLA

Mamoori, Maryam Kareem Sakran, and Abdullahi Abdu Ibrahim. “DETECTION OF COVID-19 IN LOW ENERGY CHEST X-RAYS USING FAST R-CNN”. Aurum Journal of Health Sciences, vol. 4, no. 1, Apr. 2022, pp. 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. AJHS-A. J. Health. Sci. [Internet]. 2022 Apr. 1;4(1):34-43. Available from: https://izlik.org/JA39NC98CP