Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps

Ali Sadeghi‐Naini; Harini Suraweera; William T. Tran; Farnoosh Hadizad; Giancarlo Bruni; Rashin F. Rastegar; Belinda Curpen; Gregory J. Czarnota

doi:10.1038/s41598-017-13977-x

JOURNAL ARTICLE

Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps

Ali Sadeghi‐Naini Harini Suraweera William T. Tran Farnoosh Hadizad Giancarlo Bruni Rashin F. Rastegar Belinda Curpen Gregory J. Czarnota

Year: 2017 Journal: Scientific Reports Vol: 7 (1)Pages: 13638-13638 Publisher: Nature Portfolio

DOI: 10.1038/s41598-017-13977-x

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Keywords:

Parametric statistics Ultrasound Breast cancer Radiology Pattern recognition (psychology) Biopsy Medicine Breast ultrasound Homogeneity (statistics) Lesion Computer science Artificial intelligence Mathematics Cancer Pathology Statistics Mammography Internal medicine

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Radiomics and Machine Learning in Medical Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

MRI in cancer diagnosis

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps

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