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U-Net: Convolutional Networks for Biomedical Image Segmentation

Olaf Ronneberger; Philipp Fischer; Thomas Brox · Lecture notes in computer science · 2015

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Author / responsible party
Olaf Ronneberger; Philipp Fischer; Thomas Brox
Publisher
Lecture notes in computer science
Year
2015
Language
English

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APA 7

Ronneberger, O, Fischer, P, & Brox, T. (2015). U-Net: Convolutional Networks for Biomedical Image Segmentation. Lecture notes in computer science. https://doi.org/10.1007/978-3-319-24574-4_28

MLA

Ronneberger, Olaf, et al. U-Net: Convolutional Networks for Biomedical Image Segmentation. Lecture notes in computer science, 2015. https://doi.org/10.1007/978-3-319-24574-4_28.

Chicago

Ronneberger, Olaf, Philipp Fischer, and Thomas Brox. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. Lecture notes in computer science. https://doi.org/10.1007/978-3-319-24574-4_28.

Harvard

Ronneberger, O, Fischer, P. and Brox, T. 2015, U-Net: Convolutional Networks for Biomedical Image Segmentation, Lecture notes in computer science, available at: https://doi.org/10.1007/978-3-319-24574-4_28 [Accessed 7 Aug. 2026].

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Title
U-Net: Convolutional Networks for Biomedical Image Segmentation
Author / contributors
Olaf Ronneberger; Philipp Fischer; Thomas Brox
Publisher
Lecture notes in computer science
Publication year
2015
Language
English

Subjects

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Computer science; Artificial intelligence; Segmentation; Margin (machine learning); Sliding window protocol; Context (archaeology); Path (computing); Image segmentation; Pattern recognition (psychology); Network architecture; Image (mathematics); Window (computing)
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