From 5e2fa93c5bcaa675828b508e29783a77f811d28a Mon Sep 17 00:00:00 2001 From: gurayerus Date: Thu, 12 Dec 2024 14:59:10 -0500 Subject: [PATCH 1/2] Add flowchart --- README.md | 2 ++ resources/images/NiChart_Flowchart_v2.png | Bin 0 -> 56257 bytes resources/images/NiChart_Flowchart_v2.svg | 1 + 3 files changed, 3 insertions(+) create mode 100644 resources/images/NiChart_Flowchart_v2.png create mode 100644 resources/images/NiChart_Flowchart_v2.svg diff --git a/README.md b/README.md index a3c5b735..9785399f 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,8 @@ NiChart is a novel AI-powered neuroimaging platform with tools for computing a d AI biomarkers, allowing to map a subject’s MRI images into personalized measurements, along with reference distributions for comparison to a broader population. +![NiChart flowchart](resources/images/NiChart_Flowchart_v2.png) + We provide both locally deployable software and a cloud application. [NiChart cloud application](https://neuroimagingchart.com/portal), hosted via Amazon Web Services (AWS), deploys scalable infrastructure which hosts the NiChart tools as a standard web application accessible via the user’s web browser. The cloud and desktop applications are unified at the code level through the use of the Python library [Streamlit](https://streamlit.io/). 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b/README.md @@ -4,7 +4,7 @@ NiChart is a novel AI-powered neuroimaging platform with tools for computing a d AI biomarkers, allowing to map a subject’s MRI images into personalized measurements, along with reference distributions for comparison to a broader population. -![NiChart flowchart](resources/images/NiChart_Flowchart_v2.png) +![NiChart flowchart](resources/images/NiChart_Flowchart_v2.svg) We provide both locally deployable software and a cloud application. [NiChart cloud application](https://neuroimagingchart.com/portal), hosted via Amazon Web Services (AWS), deploys scalable infrastructure which hosts the NiChart tools as a standard web application accessible via the user’s web browser. The cloud and desktop applications are unified at the code level through the use of the Python library [Streamlit](https://streamlit.io/). Consequently, the user experience is nearly completely identical between the cloud and desktop applications.