Comments (4)
Thanks for this wonderful project. I was exploring the library and I tried to make a example notebook on how to create a dataloader using medicaltorch. Will try to work on the documentation part also.
Any thing else we can contribute on ? Also please share your reviews on the notebook so that we can improve on it if needed.
from medicaltorch.
Thank you @MohitTare, that is a very nice notebook, you definitely captured the idea of how the transformations and loaders are structured. What is nice is that you show how the input
and gt
keys work. Let me know when you want to merge the notebook, and please add a link to it from the main documentation or readme so people will be able to find it easily.
from medicaltorch.
Thanks @perone for checking the notebook out. I have generated a PR. You can review once and let me know in case of any changes (PS: i am a bit new to the open source contributions, but willing to contribute more !)
from medicaltorch.
Thanks for the contribution @MohitTare, I just merged it !
from medicaltorch.
Related Issues (20)
- Undefined name: ‘img’
- please include tensorbordX in requirements file.
- SCGM example in tutorial HOT 6
- Adding support for multiple image formats (.dcm etc) in dataloaders HOT 4
- requirements.txt not present in the manifest HOT 1
- Question about MRI2DSegmentationDataset Coronal and Sagittal view
- Custom Datasets can now pin memory
- how to use this code with DICOM format ? HOT 3
- mask number must be 3 ? HOT 4
- 3D Transformations? HOT 1
- Notebook in "Getting started" page does not open HOT 3
- Tests fail for build 19 (after adding 3D Datasets for MRI) HOT 1
- Invalid argument 0: Sizes of tensors must match except in dimension 1. Got 173 and 172 in dimension 2
- How can I change this function to fit my data
- New features: Cropping around ROI & Multi-channel input HOT 3
- Issues and any examples for using 3D MRI Datasets and Transformation?
- dice score greater than 100
- How to Rescale dataset for pre-processing? HOT 1
- Project dependencies may have API risk issues
- Import Errors in Datasets Class HOT 1
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