J081: Identification of imaging biomarkers in Low Grade Epilepsy Associated Tumors with deep learning algorithms
FAU own research funding: EFI / IZKF / EAM ...
Start date : 01.01.2020
End date : 30.06.2022
Extension date: 31.12.2022
Project details
Scientific Abstract
Low-grade epilepsy-associated brain tumours (LEAT) are rare entities with poor interobserver histopathology agreement. The WHO has established an integrated genotype- phenotype classification for most brain tumor entities, but not LEAT. Bioinformatical deep learning algorithms have proven success in extracting such genotype- phenotype information from histopathology slides. Our research proposal evolves around this innovative approach in order to provide diagnostically useful imaging biomarkers.
Involved:
Contributing FAU Organisations:
Institute of Neuropathology
Interdisziplinäres Zentrum für Klinische Forschung (IZKF)
Medizinische Fakultät
