nobrainer
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neuronets
A framework for developing neural network models for 3D image processing.
## Types of changes - [ ] Bug fix (non-breaking change which fixes an issue) - [x] New feature (non-breaking change which adds functionality) - [ ] Breaking change (fix...
## Types of changes - [ ] Bug fix (non-breaking change which fixes an issue) - [x] New feature (non-breaking change which adds functionality) - [ ] Breaking change (fix...
I noticed that in nobrainer.metrics.dice, the y_pred input is the softmax output rather than actual class predictions. I believe this is true for all the losses/metrics. I am curious about...
For transfer learning, jaccard loss decreases while dice scores remain relatively constant, and the resulting model spits out empty predictions. Blocks without labels may be interfering with training--per the AMS...
Could be useful to add to our LSTM models for fine-grained segmentation in 3D https://github.com/rezazad68/BCDU-Net
I'm a bit confused, for the "previous" repository progressivegan3d there was a clear way to train a GAN using a single python call. Now I get the impression that I...
I have a task to determine if the patient has a certain brain disease out of FDG-PET scan. Output should be just one neuron which tells if the patient has...
would be great to have a tutorial for training BrainSiam... @dhritimandas
Implement AutoAugmentation framework for 3D/4D data to automatically search for improved data augmentation policies. ( reference https://openaccess.thecvf.com/content_CVPR_2019/papers/Cubuk_AutoAugment_Learning_Augmentation_Strategies_From_Data_CVPR_2019_paper.pdf)
I am trying to synthesize multi-channel volumes, using 3D progressive GAN, where one or several channels contain the segmentation annotations. I tried this a bit with the old code (2020)...