Learning through One Shot: A Phase by Phase Approach for COVID-19 Chest X-ray Classification

V. N.Manjunath Aradhya; Mufti Mahmud; M. Chowdhury; D. S. Guru; M. Shamim Kaiser; Saiful Azad

doi:10.1109/IECBES48179.2021.9398761

Learning through One Shot: A Phase by Phase Approach for COVID-19 Chest X-ray Classification

V. N.Manjunath Aradhya
, Mufti Mahmud
, M. Chowdhury
, D. S. Guru
, M. Shamim Kaiser
, Saiful Azad

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

Today globally, coronavirus disease (COVID-19) has infected over more than 81 million people and killed at least 1771K. This is an infectious disease caused by a newly discovered coronavirus. As a result, scientists and researchers around the globe are now trying to find out the path to battle this disease in the most effective way. Chest X-rays are a widely available modality for immediate care in diagnosing COVID-19. Detection and diagnosis of COVID-19 chest X-rays would be more precise for the current situation. In this paper, a phase by phase approach using the concept of one shot learning is introduced for effective classification of chest X-ray images. The proposed method utilizes the application of Entropy for selecting best describing images for effective learning purposes. The proposed model is evaluated on a publically available large dataset of size 24614 images comprising of three classes viz COVID-19, Normal and Non-COVID. The obtained results are promising and encouraging.

Original language	English
Title of host publication	Proceedings - 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	241-244
Number of pages	4
ISBN (Electronic)	9781728142456
DOIs	https://doi.org/10.1109/IECBES48179.2021.9398761
State	Published - 1 Mar 2021
Externally published	Yes

Publication series

Name	Proceedings - 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Chest X-Ray
Classification
Corona virus
Entropy
One shot learning
Probabilistic Neural Network

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Instrumentation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IECBES48179.2021.9398761

Cite this

Aradhya, V. N. M., Mahmud, M., Chowdhury, M., Guru, D. S., Kaiser, M. S., & Azad, S. (2021). Learning through One Shot: A Phase by Phase Approach for COVID-19 Chest X-ray Classification. In Proceedings - 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020 (pp. 241-244). Article 9398761 (Proceedings - 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECBES48179.2021.9398761

Aradhya, V. N.Manjunath ; Mahmud, Mufti ; Chowdhury, M. et al. / Learning through One Shot : A Phase by Phase Approach for COVID-19 Chest X-ray Classification. Proceedings - 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 241-244 (Proceedings - 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020).

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title = "Learning through One Shot: A Phase by Phase Approach for COVID-19 Chest X-ray Classification",

abstract = "Today globally, coronavirus disease (COVID-19) has infected over more than 81 million people and killed at least 1771K. This is an infectious disease caused by a newly discovered coronavirus. As a result, scientists and researchers around the globe are now trying to find out the path to battle this disease in the most effective way. Chest X-rays are a widely available modality for immediate care in diagnosing COVID-19. Detection and diagnosis of COVID-19 chest X-rays would be more precise for the current situation. In this paper, a phase by phase approach using the concept of one shot learning is introduced for effective classification of chest X-ray images. The proposed method utilizes the application of Entropy for selecting best describing images for effective learning purposes. The proposed model is evaluated on a publically available large dataset of size 24614 images comprising of three classes viz COVID-19, Normal and Non-COVID. The obtained results are promising and encouraging.",

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Aradhya, VNM, Mahmud, M, Chowdhury, M, Guru, DS, Kaiser, MS & Azad, S 2021, Learning through One Shot: A Phase by Phase Approach for COVID-19 Chest X-ray Classification. in Proceedings - 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020., 9398761, Proceedings - 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020, Institute of Electrical and Electronics Engineers Inc., pp. 241-244. https://doi.org/10.1109/IECBES48179.2021.9398761

Learning through One Shot: A Phase by Phase Approach for COVID-19 Chest X-ray Classification. / Aradhya, V. N.Manjunath; Mahmud, Mufti; Chowdhury, M. et al.
Proceedings - 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020. Institute of Electrical and Electronics Engineers Inc., 2021. p. 241-244 9398761 (Proceedings - 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Aradhya, V. N.Manjunath

AU - Mahmud, Mufti

AU - Chowdhury, M.

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AU - Kaiser, M. Shamim

AU - Azad, Saiful

PY - 2021/3/1

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Aradhya VNM, Mahmud M, Chowdhury M, Guru DS, Kaiser MS, Azad S. Learning through One Shot: A Phase by Phase Approach for COVID-19 Chest X-ray Classification. In Proceedings - 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020. Institute of Electrical and Electronics Engineers Inc. 2021. p. 241-244. 9398761. (Proceedings - 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020). doi: 10.1109/IECBES48179.2021.9398761

Learning through One Shot: A Phase by Phase Approach for COVID-19 Chest X-ray Classification

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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Cite this