We intend to develop a set of tools which will use artificial intelligence (AI) to aid with the clinical management of pediatric brain tumors. These tools will automatically detect brain tumors in MRI scans, and provide predictions as to what subtype of tumor the patient has. We will also use AI to help detect early signs of disease progression.
What are the goals of this project?
The goals of this project are to automatically segment brain tumours on multi-modal MR images, differentiate tumour malignancy / histology based on MR imaging characteristics and to identify early predictors of tumour progression, and ultimately patient outcome.
What is the impact of this project?
Although previous studies have explored AI-based techniques to do this in adults, fewer studies have focused specifically on paediatric brain tumours.
The Children's Brain Tumor Network contributed to this project by providing access to the Pediatric Brain Tumor Atlas.