Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography Article Swipe
Lennart Brocki
,
Wistan Marchadour
,
Jonas Maison
,
Bogdan Badic
,
Panagiotis Papadimitroulas
,
Mathieu Hatt
,
Franck Vermet
,
Neo Christopher Chung
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1007/978-3-031-15565-9_1
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1007/978-3-031-15565-9_1
Related Topics
Concepts
Interpretability
Artificial intelligence
Convolutional neural network
Deep learning
Computer science
Receiver operating characteristic
Estimator
Fidelity
Segmentation
Machine learning
Pixel
Artificial neural network
Pattern recognition (psychology)
Medical imaging
Mathematics
Statistics
Telecommunications
Metadata
- Type
- book-chapter
- Language
- en
- Landing Page
- https://doi.org/10.1007/978-3-031-15565-9_1
- OA Status
- green
- Cited By
- 2
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4297897152
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4297897152Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/978-3-031-15565-9_1Digital Object Identifier
- Title
-
Evaluation of Importance Estimators in Deep Learning Classifiers for Computed TomographyWork title
- Type
-
book-chapterOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
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Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher ChungList of authors in order
- Landing page
-
https://doi.org/10.1007/978-3-031-15565-9_1Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2209.15398Direct OA link when available
- Concepts
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Interpretability, Artificial intelligence, Convolutional neural network, Deep learning, Computer science, Receiver operating characteristic, Estimator, Fidelity, Segmentation, Machine learning, Pixel, Artificial neural network, Pattern recognition (psychology), Medical imaging, Mathematics, Statistics, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2023: 2Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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