Hello everyone thanks for this great community, i recently labeled segmentations for a deep learning project via 3d slicer segment editor module ,the original size of the reference volume is 256x256x175 each slice has 256 H and 256 W .after labeling tumor structures and saving them , during training of my model i realized that the size of input images are consuming memory and i want to reduce the size of the image (i.e. from 256x256x175 to , my concern is some of high details about the labeled areas will be lost in python , what modules in 3d slicer can i use to achieve the best results ? thank you
You can adjust the segmentation geometry by following these instructions, just specify larger spacing instead of smaller spacing.
Of course, if you make the resolution of the segmentation coarser then small details may be lost.
Thank you for responding.