Computer Aided Tuberculosis Detection, A Review Article Swipe
Pragya Shukla
,
Jasleen Saini
,
Barjinder Singh Saini
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.21467/proceedings.114.20
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.21467/proceedings.114.20
This paper aims at presenting a complete picture of advances till now in the field of computer-aided detection of Pulmonary Tuberculosis using Chest X-ray Images. Advances are analyzed in chronological order as they happen and are divided into three phases in which technology shifted into new paradigms. Study concludes that although techniques that use Machine learning based methods for segmentation and classification are prevailing for the moment in terms of flexibility for very particular feature extraction in borderline cases where probabilistic methods can be tweaked according to requirements and accuracy, Deep Convolutional Neural Network based technique will secure higher standings as the computational capability and dataset management improves. Finally, briefly an attempt at using visualization techniques for borderline cases is discussed.
Related Topics
Concepts
Computer science
Flexibility (engineering)
Feature extraction
Artificial intelligence
Convolutional neural network
Field (mathematics)
Segmentation
Visualization
Machine learning
Deep learning
Feature (linguistics)
Pattern recognition (psychology)
Linguistics
Pure mathematics
Mathematics
Philosophy
Statistics
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.21467/proceedings.114.20
- OA Status
- hybrid
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3203776408
All OpenAlex metadata
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https://openalex.org/W3203776408Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21467/proceedings.114.20Digital Object Identifier
- Title
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Computer Aided Tuberculosis Detection, A ReviewWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-01-01Full publication date if available
- Authors
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Pragya Shukla, Jasleen Saini, Barjinder Singh SainiList of authors in order
- Landing page
-
https://doi.org/10.21467/proceedings.114.20Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.21467/proceedings.114.20Direct OA link when available
- Concepts
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Computer science, Flexibility (engineering), Feature extraction, Artificial intelligence, Convolutional neural network, Field (mathematics), Segmentation, Visualization, Machine learning, Deep learning, Feature (linguistics), Pattern recognition (psychology), Linguistics, Pure mathematics, Mathematics, Philosophy, StatisticsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.visualization | 114 |
| abstract_inverted_index.classification | 61 |
| abstract_inverted_index.computer-aided | 16 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6499999761581421 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.19001664 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |