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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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Dettagli Bibliografici
Pubblicato in:Conf Comput Vis Pattern Recognit Workshops
Autori principali: Zhou, Yin, Chang, Hang, Barner, Kenneth, Spellman, Paul, Parvin, Bahram
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2014
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Accesso online: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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