DBT Masses Automatic Segmentation Using U-Net Neural Networks

To improve the automatic segmentation accuracy of breast masses in digital breast tomosynthesis (DBT) images, we propose a DBT mass automatic segmentation algorithm by using a U-Net architecture. Firstly, to suppress the background tissue noise and enhance the contrast of the mass candidate regions,...

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Detalles Bibliográficos
Autores principales: Lai, Xiaobo, Yang, Weiji, Li, Ruipeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204342/
https://www.ncbi.nlm.nih.gov/pubmed/32411285
http://dx.doi.org/10.1155/2020/7156165

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204342/
https://www.ncbi.nlm.nih.gov/pubmed/32411285
http://dx.doi.org/10.1155/2020/7156165

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