A computer-implemented method for providing lymph node information, the method comprising - receiving medical imaging data, - receiving atlas data spatially relating lymph node stations to at least one non-lymphatic anatomical structure, - determining a lymph node position in the medical imaging data, - determining a lymph node station, to which the lymph node position is anatomically allocated, - generating the lymph node information, the lymph node information being indicative of the lymph node station, to which the lymph node position is anatomically allocated, by applying an algorithm onto the medical imaging data, the atlas data and the lymph node position, - providing the lymph node information, - generating a non-lymphatic anatomical structure representation of the at least one non-lymphatic anatomical structure in the medical imaging data, - calculating a correlation of the atlas data and the medical imaging data based on the non-lymphatic anatomical structure representation, - wherein the lymph node information is generated based on the correlation of the atlas data and the medical imaging data, - wherein the at least one non-lymphatic anatomical structure is selected from the group consisting of a bone structure, a vessel structure, a tissue structure, an organ structure and combinations thereof, - wherein the algorithm is a trained machine learning algorithm, - wherein the lymph node information comprises a label of the lymph node station and/or a representation of a border of the lymph node station, - wherein the method is characterised by: - calculating a segmentation of at least one lymph node comprised in the lymph node station, to which the lymph node position is anatomically allocated, based on the medical imaging data, - receiving at least one structural threshold value that is specific to the lymph node station, to which the lymph node position is anatomically allocated, - calculating a structural comparison result based on the segmentation of the at least one lymph node and the at least one structural threshold value, the lymph node information further comprising the structural comparison result. - receiving medical imaging data, - receiving atlas data spatially relating lymph node stations to at least one non-lymphatic anatomical structure, - determining a lymph node position in the medical imaging data, - determining a lymph node station, to which the lymph node position is anatomically allocated, - generating the lymph node information, the lymph node information being indicative of the lymph node station, to which the lymph node position is anatomically allocated, by applying an algorithm onto the medical imaging data, the atlas data and the lymph node position, - providing the lymph node information, - generating a non-lymphatic anatomical structure representation of the at least one non-lymphatic anatomical structure in the medical imaging data, - calculating a correlation of the atlas data and the medical imaging data based on the non-lymphatic anatomical structure representation, - wherein the lymph node information is generated based on the correlation of the atlas data and the medical imaging data, - wherein the at least one non-lymphatic anatomical structure is selected from the group consisting of a bone structure, a vessel structure, a tissue structure, an organ structure and combinations thereof, - wherein the algorithm is a trained machine learning algorithm, - wherein the lymph node information comprises a label of the lymph node station and/or a representation of a border of the lymph node station, - wherein the method is characterised by: - calculating a segmentation of at least one lymph node comprised in the lymph node station, to which the lymph node position is anatomically allocated, based on the medical imaging data, - receiving at least one structural threshold value that is specific to the lymph node station, to which the lymph node position is anatomically allocated, - calculating a structural comparison result based on the segmentation of the at least one lymph node and the at least one structural threshold value, the lymph node information further comprising the structural comparison result.