Nucleus Segmentation and Analysis in Breast Cancer with the MIScnn Framework. (arXiv:2206.08182v1 [cs.CV])

Web: http://arxiv.org/abs/2206.08182

The NuCLS dataset contains over 220.000 annotations of cell nuclei in breast
cancers. We show how to use these data to create a multi-rater model with the
MIScnn Framework to automate the analysis of cell nuclei. For the model
creation, we use the widespread U-Net approach embedded in a pipeline. This
pipeline provides besides the high performance convolution neural network,
several preprocessor techniques and a extended data exploration. The final
model is tested in the evaluation phase using a wide …

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