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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Veröffentlicht in:J Healthc Eng
Hauptverfasser: Hai, Jinjin, Qiao, Kai, Chen, Jian, Tan, Hongna, Xu, Jingbo, Zeng, Lei, Shi, Dapeng, Yan, Bin
Format: Artigo
Sprache:Inglês
Veröffentlicht: Hindawi 2019
Schlagworte:
Research Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6350548/
https://ncbi.nlm.nih.gov/pubmed/30774849
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/8415485
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