MONAI
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Project-MONAI
AI Toolkit for Healthcare Imaging
**Is your feature request related to a problem? Please describe.** Need for metrics to evaluate connectivity - particularly useful for evaluation of vascular segmentations **Describe the solution you'd like** Implementation...
**Is your feature request related to a problem? Please describe.** Need for a transform that calculates the skeleton / centre line of a binarised prediction. This is needed to be...
**Is your feature request related to a problem? Please describe.** The panoptic quality allows to account simultaneously in instance segmentation issues for detection and segmentation quality. It requires however to...
**Is your feature request related to a problem? Please describe.** In order to define some instance segmentation related metrics such as panoptic quality, one needs to be able to identify...
**Is your feature request related to a problem? Please describe.** Currently only the F1 metric is implemented but this should be transformed so as to allow for FBeta instead **Describe...
**Is your feature request related to a problem? Please describe.** Currently all the confusion matrix based metrics ask for an already binarized input of prediction with a threshold predecided. In...
**Is your feature request related to a problem? Please describe.** The Metrics Reloaded consortium has classified the metrics in 3 main categories and it would be great to have them...
### Description This PR refactor stain normalization to support channel first input (instead of channel last), and modifies the code to be more readable with more meaningful names. ### Status...
**Describe the bug** The default collate function fails when using a `BatchSampler` because datasets given lists of indices or slices return `Subset` instances from `__getitem__`. This doesn't appear to be...
Originally posted by **gofmans** April 29, 2022 Hi, I recently encountered an interesting data augmentation technique that could be relevant for segmentation tasks, it's called "copy-paste" augmentation as presented in:...
