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

D. Lazic, F. Kromp, F. Rifatbegovic, L. Fischer, C. Ostalecki, I. Ambros, P. Ambros, S. Taschner-Mandl. 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. pages Poster, 10, 2018.

Autoren
  • Daria Lazic
  • Florian Kromp
  • Fikert Rifatbegovic
  • Lukas Fischer
  • Christian Ostalecki
  • Inge M. Ambros
  • Peter F. Ambros
  • Sabine Taschner-Mandl
TypSonstiges
Monat10
Jahr2018
SeitenPoster
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.