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Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images
Robust and accurate nuclei localization in microscopy image can provide crucial clues for accurate computer-aid diagnosis. In this paper, we propose a convolutional neural network (CNN) based hough voting method to localize nucleus centroids with heavy cluttering and morphologic variations in micros...
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| 出版年: | Med Image Comput Comput Assist Interv |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5224767/ https://ncbi.nlm.nih.gov/pubmed/28083567 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-24574-4_45 |
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