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Classification of Histology Sections via Multispectral Convolutional Sparse Coding
Image-based classification of histology sections plays an important role in predicting clinical outcomes. However this task is very challenging due to the presence of large technical variations (e.g., fixation, staining) and biological heterogeneities (e.g., cell type, cell state). In the field of b...
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| Publicado no: | Conf Comput Vis Pattern Recognit Workshops |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4279924/ https://ncbi.nlm.nih.gov/pubmed/25554749 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPR.2014.394 |
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