AUTHOR=Battalapalli Dheerendranath , Vidyadharan Sreejith , Prabhakar Rao B. V. V. S. N. , Yogeeswari P. , Kesavadas C. , Rajagopalan Venkateswaran 

TITLE=Fractal dimension: analyzing its potential as a neuroimaging biomarker for brain tumor diagnosis using machine learning

JOURNAL=Frontiers in Physiology

VOLUME=Volume 14 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2023.1201617

DOI=10.3389/fphys.2023.1201617

ISSN=1664-042X

ABSTRACT=▪ A comprehensive set of fractal dimension (FD) features werefractal dimension (FD) feature set was extracted from tumorous and non-tumorous brain regions.▪ Texture features were also measured in the tumorous and non-tumorous brain regions.▪ FD features showed superior performance in classifying low-grade glioma (LGG) from high-grade glioma (HGG).▪ Interestingly non-tumorous FD features also distinguished LGG from HGG, suggesting that the pathophysiological process of the tumor may not be local.