From 46e1df3b361b63f60e6d41710cde643e2f1f1ae5 Mon Sep 17 00:00:00 2001
From: Fernanda Ribeiro <33485379+felenitaribeiro@users.noreply.github.com>
Date: Mon, 8 Apr 2024 13:55:19 +1000
Subject: [PATCH] update readme (#220)

---
 README.md | 15 +++++++++++++--
 1 file changed, 13 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index ed70e79..ea7525e 100644
--- a/README.md
+++ b/README.md
@@ -24,7 +24,7 @@ This repository contains 3 major modules:
 
 
 ## **Current Version**
-VesselBoost 0.9.1
+VesselBoost 0.9.4
 
 ## **Requirements**
 - Docker / Singularity container
@@ -38,9 +38,20 @@ VesselBoost, pre-trained models, and required software are packaged in software
 The Dockerhub container is available at Dockerhub. To download the container, run the following command:
 
 ```
-docker pull vnmd/vesselboost_0.9.1
+docker pull vnmd/vesselboost_0.9.4
 ```
 
+### Neurodesk
+To predict vessel segmentation using your data and the latest version of VesselBoost on Neurodesk, you can run the following code snippet:
+
+```bash
+ml vesselboost
+path_to_model=/cvmfs/neurodesk.ardc.edu.au/containers/vesselboost_0.9.4_20240404/vesselboost_0.9.4_20240404.simg/opt/VesselBoost/saved_models
+prediction.py --ds_path /path/ --out_path /path/ --pretrained "$path_to_model"/manual_ep1000_1029 --prep_mode 4
+```
+
+For more information, please check our [notebooks](https://github.com/KMarshallX/VesselBoost/tree/master/notebooks).
+
 ## **Installation**
 This is a Python-based software package. To successfully run this project on your local machine, please follow the following steps to set up the necessary software environment.