A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images

Supervised learning methods are commonly applied in medical image analysis. However, the success of these approaches is highly dependent on the availability of large manually detailed annotated dataset. Thus an automatic refined segmentation of whole-slide image (WSI) is significant to alleviate the...

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Detalles Bibliográficos
Autores principales: Guo, Zichao, Liu, Hong, Ni, Haomiao, Wang, Xiangdong, Su, Mingming, Guo, Wei, Wang, Kuansong, Jiang, Taijiao, Qian, Yueliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6351543/
https://www.ncbi.nlm.nih.gov/pubmed/30696894
http://dx.doi.org/10.1038/s41598-018-37492-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6351543/
https://www.ncbi.nlm.nih.gov/pubmed/30696894
http://dx.doi.org/10.1038/s41598-018-37492-9

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