HIGHLIGHTS
- who: Luuk van Knippenberg from the Department of Electrical Engineering, Eindhoven University of Technology, the Netherlands have published the paper: Unsupervised domain adaptation method for segmenting cross-sectional CCA images, in the Journal: (JOURNAL)
- what: The authors propose an unsupervised domain adaptation method that is based on three main contributions. The authors describe how an a priori known shape can be used to detect unexpected outputs in a model-based approach, rather than relying on a second (adversarial) neural_network to discriminate outputs. Third, the authors demonstrate good performance of a model trained using the proposed . . .
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