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Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images
Accurately counting the number of cells in microscopy images is required in many medical diagnosis and biological studies. This task is tedious, time-consuming, and prone to subjective errors. However, designing automatic counting methods remains challenging due to low image contrast, complex backgr...
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| Veröffentlicht in: | Med Image Anal |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7856299/ https://ncbi.nlm.nih.gov/pubmed/33285481 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2020.101892 |
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