Detection and Classification of Chest Diseases using Machine Learning Algorithm-Reference-Cited by-同舟云学术

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Detection and Classification of Chest Diseases using Machine Learning Algorithm

Published:2023-11-23 Issue: Volume:2 Page:1-8
ISSN:
Container-title:Proceedings of the 5th International Conference on Information Management & Machine Intelligence
language:
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Author:

Aggarwal Rohit¹^ORCID,Gupta Rashmi²^ORCID,Jain Charu³^ORCID,Kumar Anil⁴^ORCID

Affiliation:

1. Amity University, India

2. Department of Computer Science and Engineering, Amity University, India

3. Head & Senior Manager, Xebia Academy Global, India

4. Department of Computer Science and Engineering, Poornima Institute Of Engineering and Technology, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3647444.3647947

Reference34 articles.

1. Ranjan, R., Singh, A., Rizvi, A. and Srivastava, T., 2020. Classification of chest diseases using convolutional neural network. In Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019) (pp. 235-246). Springer Singapore.

2. Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection

3. Ufuk F. and Savaş R. 2020. Chest CT features of the novel coronavirus disease (COVID-19). Turkish journal of medical sciences 50(4) pp.664-678

4. Ashhurst A.S. Flórido M. Lin L.C. Quan D. Armitage E. Stifter S.A. Stambas J. and Britton W.J. 2019. CXCR6-deficiency improves the control of pulmonary mycobacterium tuberculosis and influenza infection independent of T-lymphocyte recruitment to the lungs. Frontiers in immunology 10 p.339.

5. Chronic obstructive pulmonary disease (COPD) and lung cancer: common pathways for pathogenesis

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