Dear authors,
thank you for sharing this helpfull project.
I have occured one problem when reading the DICOM CT volume (.nii.gz) and its labeled image(.nii.gz)。
In the train function of net_run_agent.py, when i run this sentence "labels_prob = self.convert_tensor_type(data['label_prob'])", the error "KeyError: 'label_prob'" appeared.
I have checked the loaded training data, there is a attribute named "label", but not "label_prob".
Could you please help me to solve this problem?
Is there some requirements for the input labeled images? Thanks!
Dear authors, thank you for sharing this helpfull project. I have occured one problem when reading the DICOM CT volume (.nii.gz) and its labeled image(.nii.gz)。 In the train function of net_run_agent.py, when i run this sentence "labels_prob = self.convert_tensor_type(data['label_prob'])", the error "KeyError: 'label_prob'" appeared. I have checked the loaded training data, there is a attribute named "label", but not "label_prob". Could you please help me to solve this problem? Is there some requirements for the input labeled images? Thanks!