SS #26 Ronneberger et al. (2015) U-Net: Convolutional Networks for Biomedical Image Segmentation

Salutation: This paper presented the U-Net convolutional network technique, which was the foundation for my project’s major accomplishments this year, even though it was published in 2015 and is in a separate field (yay for applying techniques developed in the biomedical field to geology!). The U-Net convolutional network approach has proven extremely useful for training algorithms to detect a number of different geological features (e.g., geobodies, faults, horizons) from imagery (e.g., seismic).

What was awesome? It was helpful! It’s a scientific frontier! It’s a key technological development!

From: anonymous.

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