Magnetic resonance image-based brain tumour segmentation methods: A systematic review.

ABSTRACT:

Background

Image segmentation is an essential step in the analysis and subsequent characterisation of brain tumours through magnetic resonance imaging. In the literature, segmentation methods are empowered by open-access magnetic resonance imaging datasets, such as the brain tumour segmentation dataset. Moreover, with the increased use of artificial intelligence methods in medical imaging, access to larger data repositories has become vital in method development.

Purpose

To determine what automated brain tumour segmentation techniques can medical imaging specialists and clinicians use to identify tumour components, compared to manual segmentation.

Methods

We conducted a systematic review of 572 brain tumour segmentation studies during 2015-2020. We reviewed segmentati

SUBMITTER: Bhalodiya JM 

PROVIDER: S-EPMC8943308 | biostudies-literature | 2022 Jan-Dec

REPOSITORIES: biostudies-literature