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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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| 出版年: | Conf Comput Vis Pattern Recognit Workshops |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2014
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| 主題: | |
| オンライン･アクセス: | 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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