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MIC-DKFZ / medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

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How to write U-Net Deep Learning code dealing with ".tiff" images?

JenniferYingyiWu2020 opened this issue · comments

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Hi,
I have read the supervised machine learning on the page of "https://rasterframes.io/supervised-learning.html", now I would like to implement U-Net (Semantic Segmentation) Deep Learning which is integrated with RasterFrames.
However, I am so confused about how to write U-Net Deep Learning code dealing with ".tiff" images? So, would you pls help to give me some suggestions? Many Thanks!