Microscopy cell counting with fully convolutional regression networks
This paper concerns automated cell counting in microscopy images. The approach we take is to adapt 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 work well d...
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TUM Technische Universität München
2015
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