Characterizing new tumor biomarkers and the microenvironment of the metastatic bone marrow niche in stage M neuroblastoma using quantitative imaging and deep-learning based feature extraction
| Autoren |
Daria Lazic Florian Kromp Fikert Rifatbegovic Lukas Fischer Christian Ostalecki Inge M. Ambros Peter F. Ambros Sabine Taschner-Mandl |
| Editoren |
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| Titel | Characterizing new tumor biomarkers and the microenvironment of the metastatic bone marrow niche in stage M neuroblastoma using quantitative imaging and deep-learning based feature extraction |
| Typ | sonst |
| Ort | "From Lab to Life" Childhood Cancer Research Initiatives, Vienna, Austria, October 18-20, 2018. |
| Monat | October |
| Jahr | 2018 |
| Seiten | Poster |
| Abstract | Based on multi-omics- and imaging data, we developed a 30-biomarker panel. Multi-dimensional image analysis followed by our Deep Learning based processing pipeline shows that the detection of DTC heterogeneity, classification of tumor- and non-tumor cells as well as hematopoietic subsets is feasible. |