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cs.CV2024
An Interpretable X-ray Style Transfer via Trainable Local Laplacian Filter
Dominik Eckert, Ludwig Ritschl, Christopher Syben +5
Radiologists have preferred visual impressions or 'styles' of X-ray images that are manually adjusted to their needs to support their diagnostic performance. In this work, we propo…
cs.CV2024
StyleX: A Trainable Metric for X-ray Style Distances
Dominik Eckert, Christopher Syben, Christian Hümmer +3
The progression of X-ray technology introduces diverse image styles that need to be adapted to the preferences of radiologists. To support this task, we introduce a novel deep lear…