Artificial Intelligence-Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review.

ABSTRACT:

Background

Transformer-based models are gaining popularity in medical imaging and cancer imaging applications. Many recent studies have demonstrated the use of transformer-based models for brain cancer imaging applications such as diagnosis and tumor segmentation.

Objective

This study aims to review how different vision transformers (ViTs) contributed to advancing brain cancer diagnosis and tumor segmentation using brain image data. This study examines the different architectures developed for enhancing the task of brain tumor segmentation. Furthermore, it explores how the ViT-based models augmented the performance of convolutional neural networks for brain cancer imaging.

Methods

This review performed the study search and study selection following the PRISMA-ScR (Pre

SUBMITTER: Ali H 

PROVIDER: S-EPMC10692876 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature