Three-class brain tumor classification using deep dense inception residual network Article Swipe
Srinath Kokkalla
,
Jagadeesh Kakarla
,
Bala Venkateswarlu Isunuri
,
Munesh Singh
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1007/s00500-021-05748-8
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1007/s00500-021-05748-8
Related Topics
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s00500-021-05748-8
- https://link.springer.com/content/pdf/10.1007/s00500-021-05748-8.pdf
- OA Status
- bronze
- Cited By
- 81
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3156975676
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3156975676Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s00500-021-05748-8Digital Object Identifier
- Title
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Three-class brain tumor classification using deep dense inception residual networkWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-04-16Full publication date if available
- Authors
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Srinath Kokkalla, Jagadeesh Kakarla, Bala Venkateswarlu Isunuri, Munesh SinghList of authors in order
- Landing page
-
https://doi.org/10.1007/s00500-021-05748-8Publisher landing page
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https://link.springer.com/content/pdf/10.1007/s00500-021-05748-8.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://link.springer.com/content/pdf/10.1007/s00500-021-05748-8.pdfDirect OA link when available
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Softmax function, Artificial intelligence, Computer science, Residual, Deep learning, Class (philosophy), Pattern recognition (psychology), Artificial neural network, Residual neural network, Contextual image classification, Image (mathematics), AlgorithmTop concepts (fields/topics) attached by OpenAlex
- Cited by
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81Total citation count in OpenAlex
- Citations by year (recent)
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2025: 22, 2024: 13, 2023: 29, 2022: 13, 2021: 4Per-year citation counts (last 5 years)
- References (count)
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28Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2948542848, https://openalex.org/W2897188827, https://openalex.org/W2894424059, https://openalex.org/W2978786948, https://openalex.org/W2416025122, https://openalex.org/W2775320029, https://openalex.org/W2955805844, https://openalex.org/W1967551258, https://openalex.org/W2921483513, https://openalex.org/W2194775991, https://openalex.org/W2899901712, https://openalex.org/W3129689674, https://openalex.org/W2790857113, https://openalex.org/W3121092655, https://openalex.org/W2921384086, https://openalex.org/W2901051598, https://openalex.org/W2902226446, https://openalex.org/W2990186851, https://openalex.org/W2905017682, https://openalex.org/W2942516496, https://openalex.org/W2945839551, https://openalex.org/W2097117768, https://openalex.org/W2964350391, https://openalex.org/W3007030886, https://openalex.org/W3088864412, https://openalex.org/W3120582300, https://openalex.org/W1686810756, https://openalex.org/W2274287116 |
| referenced_works_count | 28 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/17 |
| sustainable_development_goals[0].score | 0.4099999964237213 |
| sustainable_development_goals[0].display_name | Partnerships for the goals |
| citation_normalized_percentile.value | 0.96856495 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |