Integrate sample/class weighting - Githubissues

frankkramer-lab / MIScnn

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

GNU General Public License v3.0

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Integrate sample/class weighting #116

Open muellerdo opened 2 years ago

muellerdo commented 2 years ago

https://github.com/keras-team/keras/issues/3653 https://github.com/keras-team/keras/issues/3653#issuecomment-761085597

https://tensorflow.google.cn/tutorials/images/segmentation?hl=en&skip_cache=true%22

Implement class dictionary as parameter for data generator
if parameter != None, compute sample weight according to GitHubUser97 answer (with dynamic n_classes)
Return sample weight

Add Unittesting for it.

Should also work with patches then.