Convolutional Neural Networks for Breast Density Classification: Performance and Explanation Insights

Convolutional Neural Networks for Breast Density Classification: Performance and Explanation Insights

We propose and evaluate a procedure for the explainability of a breast density deep learning based classifier. A total of 1662 mammography exams labeled according to the BI-RADS categories of breast density was used. We built a residual Convolutional Neural Network, trained it and studied the respon...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Francesca Lizzi, Camilla Scapicchio, Francesco Laruina, Alessandra Retico, Maria Evelina Fantacci
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2021-12-01
Schriftenreihe:Applied Sciences
Schlagworte:
explainability
deep learning
mammography
breast density
Online Zugang:https://www.mdpi.com/2076-3417/12/1/148

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