Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
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
103 changes: 59 additions & 44 deletions 3d_segmentation/unet_segmentation_3d_ignite.ipynb

Large diffs are not rendered by default.

2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -105,7 +105,7 @@ The example shows the flexibility of MONAI modules in a PyTorch-based program:
This notebook shows how MONAI may be used in conjunction with the [Catalyst](https://github.com/catalyst-team/catalyst) framework.
#### [unet_segmentation_3d_ignite](./3d_segmentation/unet_segmentation_3d_ignite.ipynb)
This notebook is an end-to-end training & evaluation example of 3D segmentation based on synthetic dataset.
The example is a PyTorch Ignite program and shows several key features of MONAI, especially with medical domain specific transforms and event handlers.
The example is a PyTorch Ignite program and shows several key features of MONAI, especially with medical domain specific transforms and event handlers for profiling (logging, TensorBoard, MLFlow, etc.).
#### [COVID 19-20 challenge baseline](./3d_segmentation/challenge_baseline)
This folder provides a simple baseline method for training, validation, and inference for [COVID-19 LUNG CT LESION SEGMENTATION CHALLENGE - 2020](https://covid-segmentation.grand-challenge.org/COVID-19-20/) (a MICCAI Endorsed Event).
#### [unetr_btcv_segmentation_3d](./3d_segmentation/unetr_btcv_segmentation_3d.ipynb)
Expand Down