Developing a predictive model for breast cancer detection using radiomics-based mammography and machine learning

Abstract Background This study focuses on classifying benign and malignant breast lesions in mammography images using BI-RADS, combining ten feature selection and classification methods to improve diagnostic accuracy. These advanced techniques aim to overcome current challenges in breast cancer diag...

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Hlavní autoři:	Aida Karami, Seyed Masoud Rezaeijo, Azim Motamedfar, Baharak Shahin, Pedram Nazari, Mohsen Cheki
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	SpringerOpen 2025-09-01
Edice:	The Egyptian Journal of Radiology and Nuclear Medicine
Témata:	Breast cancer Machine learning Radiomics Mammography
On-line přístup:	https://doi.org/10.1186/s43055-025-01588-w
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