References

U-Net: Convolutional Networks for Biomedical Image Segmentation

Olaf Ronneberger, Philipp Fischer, & Thomas Brox (2015)

Lecture Notes in Computer Science, 234-241.

DOI: https://doi.org/10.1007/978-3-319-24574-4_28

Abstract. Introduces U-Net, a symmetric encoder-decoder architecture with long skip connections that combine high-resolution features from the encoder with semantic features from the decoder. U-Net has become the standard architecture for medical image segmentation.

Tags: cnn segmentation u-net medical-imaging

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