Abstract

QUS data obtained during NAC reflect the ongoing treatment-related changes during chemotherapy and can lead to better classifier performances in predicting the ultimate pathologic response to treatment compared to baseline features alone.

Keywords:
Radiomics Breast cancer Medicine Ultrasound Oncology Radiology Internal medicine Cancer Medical physics

Metrics

57
Cited By
5.78
FWCI (Field Weighted Citation Impact)
72
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Radiomics and Machine Learning in Medical Imaging
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Ultrasound and Hyperthermia Applications
Physical Sciences →  Engineering →  Biomedical Engineering
MRI in cancer diagnosis
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging

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Response monitoring using quantitative ultrasound methods and supervised dictionary learning in locally advanced breast cancer

Mehrdad J. GangehBrandon FungHadi TadayyonWilliam T. TranGregory J. Czarnota

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 2016 Vol: 9784 Pages: 978413-978413
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