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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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| Publicat a: | Conf Comput Vis Pattern Recognit Workshops |
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| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2014
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| Matèries: | |
| Accés en línia: | 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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