Jung, FlorianFlorianJungBiebl-Rydlo, MedeaMedeaBiebl-RydloDaisne, Jean-FrançoisJean-FrançoisDaisneWesarg, StefanStefanWesarg2022-03-132022-03-132017https://publica.fraunhofer.de/handle/publica/39794810.1007/978-3-319-67543-5_13The localization and analysis of the sentinel lymph node for patients diagnosed with cancer, has significant influence on the prognosis, outcome and treatment of the disease. We present a fully automatic approach to localize the sentinel lymph node and additional active nodes and determine their lymph node level on SPECT-CT data. This is a crucial prerequisite for the planning of radiation therapy or a surgical neck dissection. Our approach was evaluated on 17 lymph nodes. The detection rate of the lymph nodes was 94%; and 88% of the lymph nodes were correctly assigned to their corresponding lymph node level. The proposed algorithm targets a very important topic in clinical practice. The first results are already very promising. The next step has to be the evaluation on a larger data set.enmedical applicationmedical diagnosisoral cancerLead Topic: Individual HealthResearch Line: Human computer interaction (HCI)006conference paper