Improved long-short term memory U-Net for image segmentation
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Author (Corporation)
Publication date
2021
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04B - Conference paper
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Parent work
Advances in signal processing and intelligent recognition systems. 6th International Symposium, SIRS 2020, Chennai, India, October 14-17, 2020, revised selected papers
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DOI of the original publication
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Volume
Issue / Number
Pages / Duration
144-154
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Singapore
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Abstract
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Event
6th International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS 2020)
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Conference start date
14.10.2020
Conference end date
17.10.2020
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ISBN
978-981-16-0424-9
978-981-16-0425-6
978-981-16-0425-6
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
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Published
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Closed
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Citation
Oller, H., Dornberger, R., & Hanne, T. (2021). Improved long-short term memory U-Net for image segmentation. In S. M. Thampi, S. Krishnan, R. M. Hegde, D. Ciuonzo, T. Hanne, & J. Kannan R. (Eds.), Advances in signal processing and intelligent recognition systems. 6th International Symposium, SIRS 2020, Chennai, India, October 14-17, 2020, revised selected papers (pp. 144–154). Springer. https://doi.org/10.1007/978-981-16-0425-6_11