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...

Celý popis

Podrobná bibliografie

Vydáno v:	Biomedical signal processing and control Ročník 61; s. 102027
Hlavní autoři:	Byra, Michal, Jarosik, Piotr, Szubert, Aleksandra, Galperin, Michael, Ojeda-Fournier, Haydee, Olson, Linda, O’Boyle, Mary, Comstock, Christopher, Andre, Michael
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Elsevier Ltd 01.08.2020
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!