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Impact of JPEG 2000 compression on deep convolutional neural networks for metastatic cancer detection in histopathological images
The availability of massive amounts of data in histopathological whole-slide images (WSIs) has enabled the application of deep learning models and especially convolutional neural networks (CNNs), which have shown a high potential for improvement in cancer diagnosis. However, storage and transmission...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6479230/ https://ncbi.nlm.nih.gov/pubmed/31037247 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.2.027501 |
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