Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus | Zendy

Veronica Magni | Zendy; Matteo Interlenghi | Zendy; Andrea Cozzi | Zendy; Marco Alì | Zendy; Christian Salvatore | Zendy; Alcide A. Azzena | Zendy; Davide Capra | Zendy; Serena Carriero | Zendy; Gianmarco Della Pepa | Zendy; Deborah Fazzini | Zendy; Giuseppe Granata | Zendy; Caterina Beatrice Monti | Zendy; Giulia Muscogiuri | Zendy; Giuseppe Pellegrino | Zendy; Simone Schiaffino | Zendy; Isabella Castiglioni | Zendy; Sergio Papa | Zendy; Francesco Sardanelli | Zendy

Open Access

Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus

Author(s) -

Veronica Magni,

Matteo Interlenghi,

Andrea Cozzi,

Marco Alì,

Christian Salvatore,

Alcide A. Azzena,

Davide Capra,

Serena Carriero,

Gianmarco Della Pepa,

Deborah Fazzini,

Giuseppe Granata,

Caterina Beatrice Monti,

Giulia Muscogiuri,

Giuseppe Pellegrino,

Simone Schiaffino,

Isabella Castiglioni,

Sergio Papa,

Francesco Sardanelli

Publication year - 2022

Publication title -

radiology artificial intelligence

Language(s) - English

Resource type - Journals

ISSN - 2638-6100

DOI - 10.1148/ryai.210199

Subject(s) - medicine , bi rads , breast imaging , artificial intelligence , mammography , convolutional neural network , reliability (semiconductor) , deep learning , radiology , machine learning , medical physics , computer science , breast cancer , power (physics) , physics , cancer , quantum mechanics

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