vU-net: edge detection in time-lapse fluorescence live cell images based on convolutional neural networks
Time-lapse fluorescence live cell imaging has been widely used to study various dynamic processes in cell biology. As the initial step of image analysis, it is important to localize and segment cell edges with higher accuracy. However, fluorescence live-cell images usually have issues such as low co...
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Digital WPI
2018
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| Online Access: | https://digitalcommons.wpi.edu/etd-theses/1224 https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=2223&context=etd-theses |