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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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| Publicat a: | Sci Rep |
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| Autors principals: | , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6351543/ https://ncbi.nlm.nih.gov/pubmed/30696894 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-37492-9 |
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