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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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| Publicado en: | Sci Rep |
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| Autores principales: | , , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | 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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