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Detection of Nuclei in H&E Stained Sections Using Convolutional Neural Networks
Detection of nuclei is an important step in phenotypic profiling of histology sections that are usually imaged in bright field. However, nuclei can have multiple phenotypes, which are difficult to model. It is shown that convolutional neural networks (CNN)s can learn different phenotypic signatures...
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| Udgivet i: | IEEE EMBS Int Conf Biomed Health Inform |
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| Main Authors: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2017
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5455148/ https://ncbi.nlm.nih.gov/pubmed/28580455 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/BHI.2017.7897216 |
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