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Enhancing Accuracy in Breast Density Assessment Using Deep Learning: A Multicentric, Multi-Reader Study

The evaluation of mammographic breast density, a critical indicator of breast cancer risk, is traditionally performed by radiologists via visual inspection of mammography images, utilizing the Breast Imaging-Reporting and Data System (BI-RADS) breast density categories. However, this method is subje...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Marek Biroš, Daniel Kvak, Jakub Dandár, Robert Hrubý, Eva Janů, Anora Atakhanova, Mugahed A. Al-antari
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-05-01
Schriftenreihe:Diagnostics
Schlagworte:
BI-RADS
breast density
computer-aided diagnosis
deep learning
full-field digital mammography
medical image processing
Online-Zugang:https://www.mdpi.com/2075-4418/14/11/1117
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