JINAV: Journal of Information and Visualization
Vol. 3 No. 1 (2022), Pages 9-14 · 2022-07-31
OriginalPaper | Open access | Published: July 31, 2022
A Survey Paper on Computer Aided Detection of Tuberculosis
- Zuber Khan — Department of Electronics and Communication Engineering, IIIT Delhi, 110020, India, India · ORCID
- Tanisha Jain — Department of Electronics and Communication Engineering, IIIT Delhi, 110020, India, India
- Ariba Ansari — Department of Computational Biology, IIIT Delhi, 110020, India, India
- Ravi Kumar Arya — School of Engineering, JNU, Delhi, 110067, India, India
- Publication History
- Published online: July 31, 2022
- DOI
- https://doi.org/10.35877/454RI.jinav917
- Copyright
- Copyright (c) 2022 Zuber Khan, Tanisha Jain, Ariba Ansari, Ravi Kumar Arya
Abstract
Tuberculosis (TB) is a disease that claims millions of lives each year, primarily in impoverished places. Traditional TB screening procedures may not only take longer time, but may also be infeasible in areas with inadequate healthcare infrastructure. Artificial intelligence developments have propelled computer-aided diagnostic systems to new heights. The identification of TB using computer-aided approaches offers various benefits and has the potential to be superior to traditional diagnostic procedures, particularly in poor and middle-income countries where medical specialists and machinery are few. This survey article intends to describe the scientific effort done in computer assisted detection of TB and provides light on future research opportunities.
Keywords
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How to Cite
Khan, Z., Jain, T., Ansari, A., & Arya, R. K. (2022). A Survey Paper on Computer Aided Detection of Tuberculosis. JINAV: Journal of Information and Visualization, 3(1), 9–14. https://doi.org/10.35877/454RI.jinav917
