search

IBBM / Cascaded-FCN

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

Why is my prediction so bad? #17

Closed mjiansun closed 7 years ago

mjiansun commented 7 years ago

This is my code: STEP1_DEPLOY_PROTOTXT = "/home/mi/smj/myproject/Cascaded-FCN-master/models/cascadedfcn/step1/step1_deploy.prototxt" STEP1_MODEL_WEIGHTS = "/home/mi/smj/myproject/Cascaded-FCN-master/models/cascadedfcn/step1/step1_weights.caffemodel" STEP2_DEPLOY_PROTOTXT = "/home/mi/smj/myproject/Cascaded-FCN-master/models/cascadedfcn/step2/step2_deploy.prototxt" STEP2_MODEL_WEIGHTS = "/home/mi/smj/myproject/Cascaded-FCN-master/models/cascadedfcn/step2/step2_weights.caffemodel" img=read_dicom_series("/home/mi/smj/myproject/Cascaded-FCN-master/test_image/3Dircadb1.17/PATIENT_DICOM/") lbl=read_liver_lesion_masks("/home/mi/smj/myproject/Cascaded-FCN-master/test_image/3Dircadb1.17/MASKS_DICOM/")

This is my result: after step1 process step1 prediction after step2 process step2 prediction

Why is result so bad?