nnUNet – how can I run a prediction on a test set that was extracted from a different tif file than the training set?
I am doing image segmentation in 2D using nnUNet. I have 3D tif files, images and masks.
in ordrer to train the model and make the data fit to the pipeline of nnUNet I am slicing the tif files so each frame will be a separate tif file. so if an image and its matching mask are 150 at the first dimension,then after slicing I will get 150 frames (each with the same 2D shape).