@conference {10.1007/978-3-658-51100-5_1,
	title = {Interpretable Mediastinal Lymph Node Station Classification and N-staging on CT and PET/CT Images},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin 2026},
	year = {2026},
	pages = {1{\textendash}9},
	publisher = {Springer Fachmedien Wiesbaden},
	organization = {Springer Fachmedien Wiesbaden},
	address = {Wiesbaden},
	abstract = {We present an interpretable approach for automated lymph node station (LNS) classification and N-staging on PET/CT and CT only by extending two established segmentation algorithms with probabilistic atlas-based LNS mapping. Our results show that a probabilistic approach for LNS mapping improves the detection accuracy by over 40 percentage points. The proposed method yields an accuracy of 0.74 for LNS classification and 0.68 for N-staging on PET/CT, representing a significant improvement toward human-level performance compared with the baseline approach. A performance drop for CT only evaluation indicates the PET scan adds valuable information to lymph node assessment, which is in alignment with according literature.},
	isbn = {978-3-658-51100-5},
	author = {Engelson, Sofija and Jan Ehrhardt and Elser, Yannic and Sieren, Malte M. and Andresen, Julia and Schierholz, Stefanie and Tobias Keck and Daniel Dr{\"o}mann and Barkhausen, J{\"o}rg and Heinz Handels},
	editor = {Heinz Handels and Breininger, Katharina and Deserno, Thomas and Maier, Andreas and Maier-Hein, Klaus and Palm, Christoph and Tolxdorff, Thomas}
}
