Muscle ultrasonography texture features

Muscle ultrasonography texture features predict functional performance in humans.

“In the multivariate analysis, 3 texture features contributed to functional performance. Gradient mean variance has the highest predictive value.”

Humansskeletal musclen = 113

Muscle ultrasonography texture in young, middle-aged, and older people and its association with functional performance: A machine learning-based study

Experimental gerontology·11 Jan 2026

Muscle ultrasonography texture features predict age-related muscle changes in silico (94.04% accuracy).

“9 features including gray variance-T, 0°short run low gray-level emphasis-T, inertia-L, 0°short run emphasis-T, gray variance-L, gray average-L, 0°run percentage-T, 45°energy-T, and 0°low gray-level run emphasis-L could be used to classify young and older groups with the accuracy of 94.04%”

In silicoskeletal musclen = 113

Muscle ultrasonography texture in young, middle-aged, and older people and its association with functional performance: A machine learning-based study

Experimental gerontology·11 Jan 2026