Clear insights into histological subtype and differentiation grade are essential in cervical carcinoma diagnosis and management. In current study, we demonstrated the feasibility of using high-b-value non-Gaussian diffusion model fractional order calculus (FROC) model to differentiate the tumor subtype and grade of cervical carcinoma. FROC model provided a set of novel diffusion parameters and the combination of these parameters contributed to the best diagnostic performance in differentiation between low-grade and high-grade cervical carcinoma.
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