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...

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Detalles Bibliográficos
Autores principales: Hai, Jinjin, Qiao, Kai, Chen, Jian, Tan, Hongna, Xu, Jingbo, Zeng, Lei, Shi, Dapeng, Yan, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
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

Internet

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

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