From 630f0a391ae5da81251a9a1e66ca8f32c18c9408 Mon Sep 17 00:00:00 2001 From: Mikael Brudfors Date: Wed, 15 Nov 2023 17:01:34 +0000 Subject: [PATCH] Mention that Learn2Reg submission finished 3rd Signed-off-by: Mikael Brudfors --- 3d_registration/learn2reg_nlst_paired_lung_ct.ipynb | 2 ++ 1 file changed, 2 insertions(+) diff --git a/3d_registration/learn2reg_nlst_paired_lung_ct.ipynb b/3d_registration/learn2reg_nlst_paired_lung_ct.ipynb index a2994843f0..50a11998c2 100644 --- a/3d_registration/learn2reg_nlst_paired_lung_ct.ipynb +++ b/3d_registration/learn2reg_nlst_paired_lung_ct.ipynb @@ -19,6 +19,8 @@ "# MONAI @ Learn2Reg Challenge\n", "## NLST Task: Paired Lung CT 3D Registration with Keypoints\n", "\n", + "### **Update**: MONAI submission [finished 3rd](https://learn2reg.grand-challenge.org/) in the Learn2Reg challenge\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", "

Registration sample from NLST challenge

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