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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...
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| Vydáno v: | PeerJ |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
PeerJ Inc.
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6924324/ https://ncbi.nlm.nih.gov/pubmed/31871843 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.8242 |
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