Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
There are some irrelevant images (without liver region) in the CT volumes. Do I need to remove these images or send all of them to the network as a training set?
For metrics, I didn't get any prediction for small image with very small liver region. So some of the metrics cannot be calculated (Infinite). Do you get a predicted result for every single image, and compared with the ground-truth of foreground?
There are some irrelevant images (without liver region) in the CT volumes. Do I need to remove these images or send all of them to the network as a training set? For metrics, I didn't get any prediction for small image with very small liver region. So some of the metrics cannot be calculated (Infinite). Do you get a predicted result for every single image, and compared with the ground-truth of foreground?