Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI

2016309 citationsJournal Articlehybrid Open Access

Authors

Mohammadreza Soltaninejad · University of Lincoln

Guang Yang · Imperial College London

Tryphon Lambrou · University of Lincoln

N.M. Allinson · University of Lincoln

Timothy L. Jones · Atkins (United Kingdom)

Thomas R. Barrick · St George's, University of London

Franklyn A. Howe ·

Abstract

This provides a close match to expert delineation across all grades of glioma, leading to a faster and more reproducible method of brain tumour detection and delineation to aid patient management.

Topics & Keywords

Brain Tumor Detection and Classification Medical Image Segmentation Techniques Glioma Diagnosis and Treatment

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: International Journal of Computer Assisted Radiology and Surgery

Volume 12, Issue 2, pp. 183-203

DOI: 10.1007/s11548-016-1483-3

Field-Weighted Citation Impact: 13.27