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Deep Convolutional Hashing for Low Dimensional Binary Embedding of Histopathological Images
Compact binary representations of histopathology images using hashing methods provide efficient approximate nearest neighbor search for direct visual query in large-scale databases. They can be utilized to measure the probability of the abnormality of the query image based on the retrieved similar c...
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| Опубликовано в: : | IEEE J Biomed Health Inform |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6429565/ https://ncbi.nlm.nih.gov/pubmed/29993648 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JBHI.2018.2827703 |
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