Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation Article Swipe
A. Sadikine
,
Bogdan Badic
,
J.-P. Tasu
,
Vincent Noblet
,
Dimitris Visvikis
,
Pierre-Henri Conze
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/icip46576.2022.9897188
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/icip46576.2022.9897188
The extraction of blood vessels has recently experienced a widespread\ninterest in medical image analysis. Automatic vessel segmentation is highly\ndesirable to guide clinicians in computer-assisted diagnosis, therapy or\nsurgical planning. Despite a good ability to extract large anatomical\nstructures, the capacity of U-Net inspired architectures to automatically\ndelineate vascular systems remains a major issue, especially given the scarcity\nof existing datasets. In this paper, we present a novel approach that\nintegrates into deep segmentation shape priors from a Semi-Overcomplete\nConvolutional Auto-Encoder (S-OCAE) embedding. Compared to standard\nConvolutional Auto-Encoders (CAE), it exploits an over-complete branch that\nprojects data onto higher dimensions to better characterize tiny structures.\nExperiments on retinal and liver vessel extraction, respectively performed on\npublicly-available DRIVE and 3D-IRCADb datasets, highlight the effectiveness of\nour method compared to U-Net trained without and with shape priors from a\ntraditional CAE.\n
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/icip46576.2022.9897188
- OA Status
- green
- Cited By
- 5
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4283647060
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4283647060Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/icip46576.2022.9897188Digital Object Identifier
- Title
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Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel SegmentationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-10-16Full publication date if available
- Authors
-
A. Sadikine, Bogdan Badic, J.-P. Tasu, Vincent Noblet, Dimitris Visvikis, Pierre-Henri ConzeList of authors in order
- Landing page
-
https://doi.org/10.1109/icip46576.2022.9897188Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2409.13001Direct OA link when available
- Concepts
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Prior probability, Artificial intelligence, Computer science, Segmentation, Embedding, Autoencoder, Pattern recognition (psychology), Encoder, Deep learning, Image segmentation, Exploit, Computer vision, Bayesian probability, Computer security, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 3, 2023: 2Per-year citation counts (last 5 years)
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22Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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