Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
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#Question:The results in the Docker are inconsistent with the illustrations in the paper #23
The illustration in the paper uses the 86th slice of the patient No. 9 in the data set,and I successfully ran the cascaded_unet_inference.ipynb program in Docker,but the result is inconsistent with the picture in the paper, where is the implementation of my right? Is not using 3DCRF? In the Docker how should we use denseinference?Looking forward to your answer
The illustration in the paper uses the 86th slice of the patient No. 9 in the data set,and I successfully ran the cascaded_unet_inference.ipynb program in Docker,but the result is inconsistent with the picture in the paper, where is the implementation of my right? Is not using 3DCRF? In the Docker how should we use denseinference?Looking forward to your answer