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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| 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 |