Lnq challenge 2023: Learning mediastinal lymph node segmentation with a probabilistic lymph node atlas

S Engelson, J Ehrhardt, T Kepp, J Niemeijer… - arxiv preprint arxiv …, 2024 - arxiv.org
The evaluation of lymph node metastases plays a crucial role in achieving precise cancer
staging, influencing subsequent decisions regarding treatment options. Lymph node …

LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification

R Dorent, R Khajavi, T Idris, E Ziegler… - arxiv preprint arxiv …, 2024 - arxiv.org
Accurate assessment of lymph node size in 3D CT scans is crucial for cancer staging,
therapeutic management, and monitoring treatment response. Existing state-of-the-art …

Deep Learning-Based Mediastinal Lymph Node Assessment on Ct and Pet/Ct Images Without Pixel-Level Annotations: A Comparative Study

S Engelson, Y Elser, MM Sieren, J Ehrhardt… - Ct Images Without Pixel … - papers.ssrn.com
Background and Objective N-staging, as part of the TNM-classification, quantifies the
metastatic spread to the lymph nodes, which is crucial for the decision-making regarding …