Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography

Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography

Background: breast cancer (BC) is the world’s most prevalent cancer in the female population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made to set screening campaigns, early detection programs, and increasingly targeted treatments led to significant improvement in pa...

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Bibliographic Details
Main Authors: Mario Sansone, Roberta Fusco, Francesca Grassi, Gianluca Gatta, Maria Paola Belfiore, Francesca Angelone, Carlo Ricciardi, Alfonso Maria Ponsiglione, Francesco Amato, Roberta Galdiero, Roberta Grassi, Vincenza Granata, Roberto Grassi
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Current Oncology
Subjects:
breast cancer
mammography
breast density
machine learning
radiomics
Online Access:https://www.mdpi.com/1718-7729/30/1/64

Internet

https://www.mdpi.com/1718-7729/30/1/64

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