Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Other
304
stars
127
forks
source link
#question. Do we need to train for step 2 in cascaded FCN? #21
I'm following this notebook: https://github.com/mohamed-ezz/saratan/tree/master/notebooks for Step 1 caffemodel, I just need clarification on my understanding once I trained for dataset 3D-Ircadb using this notebook so basically my model is ready to segment liver. How about for lesion, do I need to save the result after segmenting in Step1 and use the same notebook for creating the Step 2 model.
Please help me to understand, I don't see how's this is taken care in the code.
Hello,
I'm following this notebook: https://github.com/mohamed-ezz/saratan/tree/master/notebooks for Step 1 caffemodel, I just need clarification on my understanding once I trained for dataset 3D-Ircadb using this notebook so basically my model is ready to segment liver. How about for lesion, do I need to save the result after segmenting in Step1 and use the same notebook for creating the Step 2 model. Please help me to understand, I don't see how's this is taken care in the code.