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Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
Modern pathology diagnostics is being driven toward large scale digitization of microscopic tissue sections. A prerequisite for its safe implementation is the guarantee that all tissue present on a glass slide can also be found back in the digital image. Whole-slide scanners perform a tissue segment...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924324/ https://www.ncbi.nlm.nih.gov/pubmed/31871843 http://dx.doi.org/10.7717/peerj.8242 |