Automated ensemble method for pediatric brain tumor segmentation

arXiv:2308.07212v2 Announce Type: replace-cross
Abstract: Brain tumors remain a critical global health challenge, necessitating advancements in diagnostic techniques and treatment methodologies. A tumor or its recurrence often needs to be identified in imaging studies and differentiated from normal brain tissue. In response to the growing need for age-specific segmentation models, particularly for pediatric patients, this study explores the deployment of deep learning techniques using magnetic resonance imaging (MRI) modalities. By introducing a novel ensemble approach using ONet and modified versions …

abstract age arxiv automated brain challenge cs.cv cs.lg diagnostic eess.iv ensemble global global health health imaging normal segmentation studies treatment tumors type