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Project-MONAI
MONAI Tutorials
**Need to have a description of all the demos included in the repo including the Tritan demo **Add description of Triton Demo **Alternatively, the Triton description could be left off...
**Describe the bug** ``` Running ./pathology/tumor_detection/ignite/profiling_camelyon_pipeline.ipynb Checking PEP8 compliance... Running notebook... Executing: 0%| | 0/18 [00:00
Current tutorial notebook about test-time augmentation (TTA) simply shows how to apply it for brain MRI segmentation in 2D planes. However, it is unclear the if the TTA method would...
**Describe the bug** log: https://github.com/Project-MONAI/MONAI/runs/3073470810?check_suite_focus=true ``` Running ./3d_segmentation/unetr_btcv_segmentation_3d.ipynb Checking PEP8 compliance... stdin:384:2: N816 variable 'split_JSON' in global scope should not be mixedCase split_JSON = "dataset_0.json" ^ stdin:464:17: C408 Unnecessary list...
**Is your feature request related to a problem? Please describe.** Currently, we already have several `crop` transforms that can generate random samples/patches during training, I think we should develop a...
**Is your feature request related to a problem? Please describe.** We currently have this structure at the top of our notebooks: `!python -c "import matplotlib" || pip install -q matplotlib`....
**Is your feature request related to a problem? Please describe.** would be great to have an image regression demo/tutorial (for example MR to CT conversion using MAE as loss function)...
this repository needs a contributing guide about how to create tutorials, at least to clarify a few things: - installing dependencies - code format - notebook vs python scripts -...
It would be useful to have an example of a yolo model to do object recognition on medical images such mass / tumour detection on breast 2D images and/or 3D...
**Is your feature request related to a problem? Please describe.** would be great to fix the Anaconda Python distribution with a predefined yml file, such as https://github.com/Project-MONAI/MONAIBootcamp2020#instal-local-environment