Cystic (including atypical) and solid breast lesion classification using the different features of quantitative ultrasound parametric images

A. А. Kolchev; D. V. Pasynkov; I. A. Egoshin; I.V. Kliouchkin; OLGA O. PASYNKOVA

doi:10.1007/s11548-021-02522-x

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Cystic (including atypical) and solid breast lesion classification using the different features of quantitative ultrasound parametric images

A. А. Kolchev D. V. Pasynkov I. A. Egoshin I.V. Kliouchkin OLGA O. PASYNKOVA

Year: 2021 Journal: International Journal of Computer Assisted Radiology and Surgery Vol: 17 (2)Pages: 219-228 Publisher: Springer Science+Business Media

DOI: 10.1007/s11548-021-02522-x

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Keywords:

Feature selection Artificial intelligence Breast ultrasound Correlation Grayscale Ultrasound Feature (linguistics) Pattern recognition (psychology) Computer science Medicine Breast cancer Pixel Parametric statistics Radiology Mathematics Mammography Statistics Cancer Internal medicine

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Topics

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Breast Lesions and Carcinomas

Health Sciences → Medicine → Pathology and Forensic Medicine

Cystic (including atypical) and solid breast lesion classification using the different features of quantitative ultrasound parametric images

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