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Training: train the CNN to recognize objects in 3D image stacks (or 2D images)
Prediction: image segmentation
Transfer Learning: adapt a pre-trained model to a new dataset or different object
For prediction and transfer learning you can use either a pre-trained model from the modelzoo or your own model generated during training.