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A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer
The success of training computer-vision models heavily relies on the support of large-scale, real-world images with annotations. Yet such an annotation-ready dataset is difficult to curate in pathology due to the privacy protection and excessive annotation burden. To aid in computational pathology,...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121551/ https://www.ncbi.nlm.nih.gov/pubmed/37085533 http://dx.doi.org/10.1038/s41597-023-02125-y |