JOURNAL ARTICLE

Quantitative ultrasound characterization of locally advanced breast cancer by estimation of its scatterer properties

Abstract

Overall, the binary classification results (tumor versus normal tissue) were more promising than tumor grade assessment. Combinations of advanced parameters can further improve the separation of tumors from normal tissue compared to the use of linear regression parameters. While the linear regression parameters were sufficient for characterizing breast tumors and normal breast tissues, advanced parameters and their textural features were required to better characterize tumor subtypes.

Keywords:
Ultrasound Breast cancer Mathematics Medicine Biomedical engineering Radiology Cancer

Metrics

78
Cited By
8.03
FWCI (Field Weighted Citation Impact)
45
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Ultrasound Imaging and Elastography
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Photoacoustic and Ultrasonic Imaging
Physical Sciences →  Engineering →  Biomedical Engineering
AI in cancer detection
Physical Sciences →  Computer Science →  Artificial Intelligence
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