Ultrasound Radio Frequency Time Series for Tissue Typing: Experiments on In-Vivo Breast Samples Using Texture-Optimized Features and Multi-Origin Method of Classification (MOMC).
Journal:
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Published Date:
Jun 30, 2025
Abstract
OBJECTIVES: One of the most promising auxiliaries for screening breast cancer (BC) is ultrasound (US) radio-frequency (RF) time series. It has the superiority of not requiring any supplementary equipment over other methods. This article sought to propound a machine learning (ML) method for the automated categorization of breast lesions-categorized as benign, probably benign, suspicious, or malignant-using features extracted from the accumulated US RF time series.
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