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Sparse coding of pathology slides compared to transfer learning with deep neural networks
BACKGROUND: Histopathology images of tumor biopsies present unique challenges for applying machine learning to the diagnosis and treatment of cancer. The pathology slides are high resolution, often exceeding 1GB, have non-uniform dimensions, and often contain multiple tissue slices of varying sizes...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6302377/ https://ncbi.nlm.nih.gov/pubmed/30577746 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2504-8 |
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