Breast lesion characterization using Quantitative Ultrasound (QUS) and derivative texture methods

Laurentius O. Osapoetra; Lakshmanan Sannachi; Daniel DiCenzo; Karina Quiaoit; Kashuf Fatima; Gregory J. Czarnota

doi:10.1016/j.tranon.2020.100827

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Breast lesion characterization using Quantitative Ultrasound (QUS) and derivative texture methods

Laurentius O. Osapoetra Lakshmanan Sannachi Daniel DiCenzo Karina Quiaoit Kashuf Fatima Gregory J. Czarnota

Year: 2020 Journal: Translational Oncology Vol: 13 (10)Pages: 100827-100827 Publisher: Elsevier BV

DOI: 10.1016/j.tranon.2020.100827

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Abstract

QUS-based framework and derivative texture methods enable accurate classification of breast lesions. Evaluation of the proposed technique on a large cohort using hold-out cross-validation demonstrates its robustness and its generalization.

Keywords:

Texture (cosmology) Lesion Derivative (finance) Ultrasound Characterization (materials science) Medicine Radiology Computer science Pathology Artificial intelligence Materials science Nanotechnology

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Breast lesion characterization using Quantitative Ultrasound (QUS) and derivative texture methods

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