MONAI
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Project-MONAI
AI Toolkit for Healthcare Imaging
**Is your feature request related to a problem? Please describe.** for backward compatibility, it might be useful to consider an option of `as_dict=True` to enable `FromMetaTensor` as part of the...
**Is your feature request related to a problem? Please describe.** Currently, seems we only prune the nifti keys: https://github.com/Project-MONAI/MONAI/blob/dev/monai/data/utils.py#L1469 It may be necessary to support other keys and DICOM keys....
Currently, `PatchWSIDataset` generates patches based on pre-defined locations. In digital pathology use cases, there is a need for generating such patches randomly from all over the whole slide image. This...
### Description Use nn.function.one_hot for one_hot calulcation in utils ### Status **Ready** ### Types of changes - [x] Non-breaking change (fix or new feature that would not break existing functionality)....
**Is your feature request related to a problem? Please describe.** For using the BilateralFilter layer (by @charliebudd ) more flexibly, I would really appreciate two extensions to the current filter...
### Description Implements r2 metric to compare similarities between two tensors. This is a useful metric as it can be expressed as a percentage, as opposed to MSE for example...
I am trying to build a multi-instance learning pipeline for multiple files (dicom files). I am inspired by the multi-instance learning workflow for WSI data described in this notebook: (https://github.com/Project-MONAI/tutorials/tree/main/pathology/multiple_instance_learning)....
**Describe the bug** The values returned by the loss are not correct for batch sizes larger than 1 **To Reproduce** In the binary case and for M=[[1,0],[0,1]] the generalized Wasserstein...
