Skip to content

Add RankSEG integration tutorial #2068

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
statmlben wants to merge 4 commits into
base: main
Choose a base branch
from
+1,043 −0
Open

Add RankSEG integration tutorial #2068

Show file tree
Hide file tree
Changes from 2 commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
13eed5c
Add RankSEG integration tutorial
statmlben Jul 27, 2026
69d75fd
Address review feedback for RankSEG tutorial
statmlben Jul 29, 2026
2c4eead
Address additional review feedback for RankSEG tutorial
statmlben Jul 31, 2026
1efa798
Format RankSEG notebook with Black
statmlben Jul 31, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -331,6 +331,8 @@ Illustrate reading NIfTI files and iterating over image patches of the volumes l
This tutorial illustrates the flexible network APIs and utilities.
##### [postprocessing_transforms](./modules/postprocessing_transforms.ipynb)
This notebook shows the usage of several postprocessing transforms based on the model output of spleen segmentation task.
##### [rankseg_integration](./modules/rankseg_integration.ipynb)
This notebook demonstrates how to integrate RankSEG and RankSEGd as optional third-party post-processing transforms in MONAI and compare RankSEG with argmax using a pretrained pancreas segmentation model.
##### [idc_dataset](./modules/idc_dataset.ipynb)
This notebook shows how to query and download public cancer imaging data from NCI Imaging Data Commons (IDC) using `idc-index`, and how to load DICOM images and DICOM-SEG segmentations into MONAI for AI/ML preprocessing.
##### [public_datasets](./modules/public_datasets.ipynb)
Expand Down
Loading