Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium.
Journal:
The British journal of radiology
Published Date:
Nov 1, 2022
Abstract
OBJECTIVE: To report imaging protocol and scheduling variance in routine care of glioblastoma patients in order to demonstrate challenges of integrating deep-learning models in glioblastoma care pathways. Additionally, to understand the most common imaging studies and image contrasts to inform the development of potentially robust deep-learning models.