From c12faffbd0e89f8a3d436de16df17ec2d9c1f8ad Mon Sep 17 00:00:00 2001 From: Mikael Brudfors Date: Wed, 15 Nov 2023 16:54:36 +0000 Subject: [PATCH] Mention that Learn2Reg submission finished 3rd Signed-off-by: Mikael Brudfors --- 3d_registration/learn2reg_nlst_paired_lung_ct.ipynb | 1 + 1 file changed, 1 insertion(+) diff --git a/3d_registration/learn2reg_nlst_paired_lung_ct.ipynb b/3d_registration/learn2reg_nlst_paired_lung_ct.ipynb index a2994843f0..7ebf4a833a 100644 --- a/3d_registration/learn2reg_nlst_paired_lung_ct.ipynb +++ b/3d_registration/learn2reg_nlst_paired_lung_ct.ipynb @@ -18,6 +18,7 @@ "\n", "# MONAI @ Learn2Reg Challenge\n", "## NLST Task: Paired Lung CT 3D Registration with Keypoints\n", + "### :tada: MONAI submission [finished 3rd](https://learn2reg.grand-challenge.org/) in the Learn2Reg challenge :tada:\n", "\n", "This tutorial shows how to use MONAI to register CT images acquired at different time points for a single patient. It is a fully MONAI-based solution for the [NLST track](https://learn2reg.grand-challenge.org/Datasets/) of the [Learn2Reg challenge 2023](https://learn2reg.grand-challenge.org/). The images being registered are taken at inspiration and expiration for each subject. This is an intra subject registration. This type of intra subject registration is useful when there is a need to track certain features on a medical image such as tumor location when conducting invasive procedures. \n", "\n",