Using non-Gaussian diffusion models to distinguish benign from malignant head and neck lesions

Using non-Gaussian diffusion models to distinguish benign from malignant head and neck lesions

ObjectiveThis study aims to investigate the application value of fractional-order calculus (FROC) and continuous-time random-walk (CTRW) derived multiple parameters in distinguishing benign and malignant head and neck lesions and compare their performance with conventional diffusion-weighted imaging...

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Bibliographic Details
Main Authors: Li Hua, Qiuyang Guo, Yifan Tang, Xueyi Ding, Jianyu Lin, Mengxiao Liu, Jun Liu, Qing Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Oncology
Subjects:
head and neck lesions
fractional-order calculus
continuous-time random walk
diffusion-weighted imaging
magnetic resonance imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1581637/full
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