Comments (1)
So, we combined all the tumor classes into one binary tumor class, and so we have only two classes. However, and I'll look into this in the next few days, but the UNet models can trivially be extended to have multiple classes.
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Related Issues (16)
- Which BraTS set was used for training? HOT 2
- Loading BRATS dataset and # of training epochs HOT 2
- A question about the DICELossMultiClass HOT 4
- kU-NET implementation
- 3D Unet unable to locate
- Inference using UNET + BD-LSTM?
- Hi, just a quick thought: difference comparision to 3d-unet
- No module named dataParser HOT 3
- Missing 'losses' module
- How to realize BDC-LSTM in Keras?
- Question about BDC-LSTM input. HOT 2
- Question about prediction output HOT 1
- how to prepare data for bdclstm.py HOT 7
- about the database HOT 4
- Dice Score HOT 3
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