Comments (1)
Hi, the network was trained on the images cropped by OD, but you can try retraining it on the original images.
CDR is the ratio between the height of the optic cup and the optic disc, so I guess it should not change with the input size.
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Related Issues (16)
- Pre-processing HOT 4
- Failure in segmenting OD from DRIONS DB HOT 1
- what version of keras and tf did you use please? HOT 3
- RuntimeError: `get_session` is not available when using TensorFlow 2.0. HOT 3
- How do I use the pre-trained model to run on my own Images. HOT 6
- Not an issue but a question. (Joint optic cup disc hdf5) HOT 1
- hey can you help me if i only want to test only in single input image? HOT 1
- one question
- sir h5f = h5py.File(os.path.join(os.path.dirname(os.getcwd()), 'data', 'hdf5_datasets', 'all_data.hdf5'), 'r+') for this how to create HDF5 file . I am unable to create. HOT 4
- Unable to replicate HOT 2
- This is only segmenting the cup HOT 1
- RIM_ONE_v3.hdf5 and all_data.hdf5 need how to generate it HOT 6
- Hdf5 HOT 1
- Problem in Hdf5 creation HOT 1
- Crop dataset by optic disc? HOT 13
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from optic-nerve-cnn.