Microscopy cell counting and detection with fully convolutional regression networks
This paper concerns automated cell counting and detection in microscopy images. The approach we take is to use convolutional neural networks (CNNs) to regress a cell spatial density map across the image. This is applicable to situations where traditional single-cell segmentation-based methods do not...
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| 格式: | Journal article |
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Taylor and Francis
2016
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