PhD defence by Kasra Arnavaz

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Summary

While manual segmentations of human experts are in general reliable, they are not efficient. This makes the manual approach unattainable for a scalable study of several movies. On the other hand, deep learning segmentation models are efficient, taking a short time to make new predictions. However, they pose three challenges for our application: Endowing segmentation models with uncertainty estimates can be an effective way to bring a sense of reliability into the predictions. For our biological application, extracting topologically accurate structures is more important than pixel-wise accuracy.

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