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Fully Convolutional DenseNet with Multiscale Context for Automated Breast Tumor Segmentation
Breast tumor segmentation plays a crucial role in subsequent disease diagnosis, and most algorithms need interactive prior to firstly locate tumors and perform segmentation based on tumor-centric candidates. In this paper, we propose a fully convolutional network to achieve automatic segmentation of...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350548/ https://www.ncbi.nlm.nih.gov/pubmed/30774849 http://dx.doi.org/10.1155/2019/8415485 |