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