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

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

Purpose: The main purpose of this study was to comprehensively investigate the potential of fractal dimension (FD) measures in discriminating brain gliomas into low-grade glioma (LGG) and high-grade glioma (HGG) by examining tumor constituents and non-tumorous gray matter (GM) and white matter (WM)...

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Bibliographic Details
Main Authors: Dheerendranath Battalapalli, Sreejith Vidyadharan, B. V. V. S. N. Prabhakar Rao, P. Yogeeswari, C. Kesavadas, Venkateswaran Rajagopalan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Physiology
Subjects:
brain magnetic resonance imaging
texture feature
fractal dimension
biomarker
low-grade glioma
high-grade glioma
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2023.1201617/full

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https://www.frontiersin.org/articles/10.3389/fphys.2023.1201617/full

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