Artifact segmentation using the U-Net architecture for powder X-ray diffraction images

Vong, A.; Yanxon, H.; Roberts, E.; Parraga, H.; Weng, J.; Xu, W.; Ruett, U.; Hexemer, A.; Zwart, P.H.; Schwarz, N.

doi:10.1107/S160057752600754X

Figure 3
Schematic of a 4-layer U-Net with 8 initial base channels and a convolutional channel growth/decay rate of 2 between encoder/decoder layers. Pictured (left) is a typical grayscale input XRD image after cropping and (right) is the corresponding binary segmentation prediction mask output by the network.

JOURNAL OF
SYNCHROTRON
RADIATION

ISSN: 1600-5775

Volume 33| Part 5| September 2026|

https://doi.org/10.1107/S160057752600754X

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