Segmentation of Breast Masses in Digital Mammography Based on U-Net Deep Convolutional Neural Networks

In this paper, we propose a new algorithm for segmentation of breast masses in digital mammography based on U-Net deep convolutional neural networks. All raw mammogram images are preprocessed to improve segmentation reliability. Deep learning was carried out using additional methods of data augmenta...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of communications technology & electronics 2022-12, Vol.67 (12), p.1531-1541
Hauptverfasser:	Ruchay, A. N., Kober, V. I., Dorofeev, K. A., Karnaukhov, V. N., Mozerov, M. G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Communications Engineering Engineering Image segmentation Machine learning Mammography Medical imaging equipment Network reliability Networks Neural networks Theory and Methods of Information Processing
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!