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

In this work, we propose a deep learning method for breast mass segmentation in ultrasound (US). Variations in breast mass size and image characteristics make the automatic segmentation difficult. To address this issue, we developed a selective kernel (SK) U-Net convolutional neural network. The aim...

Descripción completa

Detalles Bibliográficos
Autores principales: Byra, Michal, Jarosik, Piotr, Szubert, Aleksandra, Galperin, Michael, Ojeda-Fournier, Haydee, Olson, Linda, O’Boyle, Mary, Comstock, Christopher, Andre, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545275/
https://www.ncbi.nlm.nih.gov/pubmed/34703489
http://dx.doi.org/10.1016/j.bspc.2020.102027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545275/
https://www.ncbi.nlm.nih.gov/pubmed/34703489
http://dx.doi.org/10.1016/j.bspc.2020.102027

Ejemplares similares