I am trying to train the dense_vnet network on my own dataset (30 abdominal CT scans fro liver segmentation). The loss (dice_hinge.dice) got stuck at 0.24 after 1000 iteration and kept oscillating around that mean value for another 1000 iterations before I interrupted it. I then tried to overfit on a single sample (as a sanity check of the network). Same thing happened: stuck around 0.23 after 40 iterations (that I let go on for 600 iterations...). Other details: using resize sampler (to 144144144 volumes), no augmentation, adam optimizer as it is was set in the default config file (pretrained densevnet). Has this happened to anyone ? Any idea what might be going wrong here ? Thanks a lot for your help

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