Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network

•Convolutional neural networks can efficiently segment breast masses in ultrasound.•Segmentation network's receptive field can be adjusted with an attention mechanism.•Segmentation performance assessment based on multiple datasets. In this work, we propose a deep learning method for breast mass...

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Veröffentlicht in:	Biomedical signal processing and control Jg. 61; S. 102027
Hauptverfasser:	Byra, Michal, Jarosik, Piotr, Szubert, Aleksandra, Galperin, Michael, Ojeda-Fournier, Haydee, Olson, Linda, O’Boyle, Mary, Comstock, Christopher, Andre, Michael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 01.08.2020
Schlagworte:	Attention mechanism Breast mass segmentation Convolutional neural networks Deep learning Receptive field Ultrasound imaging Deep learning Attention mechanism Receptive field Breast mass segmentation Convolutional neural networks Ultrasound imaging
ISSN:	1746-8094
Online-Zugang:	Volltext
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