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MONAI Label is an intelligent open source image labeling and learning tool.

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Hi @SachidanandAlle @Nic-Ma @diazandr3s , I'm working on the documentation improvement plan for MONAILabel this week! Linked to Issue #905. All the tasks I plans are here: [Task 0: Add...

Signed-off-by: Andres To Do: - **Third stage:** Loop over all the detected centroids from the second stage - Do this in the vertebra_pipeline - **Third stage:** Add batches during training...

PR_DO_NOT_MERGE
0.5.0

Signed-off-by: tangy5 Replaced AddChanneld to EnsureChannelFirstd

Signed-off-by: Andres Diaz-Pinto - Segmentation App for brain tumour segmentation using 4D BRATS dataset - Please ADD the slicer plugin path to 3DSlicer instead of installing the MONAI Label module...

backlog

**Describe the bug** After transformation for pre-processing. The image and label data shapes are different. This is potentially due to the use of > AddChanneld ``` [2022-08-05 00:01:33,660] [494] [MainThread]...

**Describe the bug** Running scribbles (Histogram+GraphCut), get the following error: ``` File "/data/MONAILabel-Dev/monailabel/scribbles/utils.py", line 121, in make_histograms values = image[scrib == scribbles_bg_label] IndexError: boolean index did not match indexed array...

0.5.0

![image](https://user-images.githubusercontent.com/7339051/182906351-4bb079dd-f211-450a-a526-ed753d05b093.png)

0.5.0

Integrate Tool Detection Model as part of Endoscopy app and show-case the same in CVAT

0.5.0

Train a basic model and add detector for CVAT to run deepgrow model as interactor

0.5.0

Batch Scoring - to run Epistemic strategy as part of Active Learning Inference over N number of samples (Video)

0.5.0