I am currently working on a tele-radiology project in which I am going to integrate a deep learning model (U-Net) for the detection of anomalies (image of tuberculosis for example) from images in Orthanc through an API.
I’d like to know how I can integrate the model directly into Orthanc using Python, given that I don’t have any knowledge of C or C++. Using an icon, I can select a few images found in Orthanc and the model will tell me if it’s an anomaly or if I can segment it.
Do you have any resources that might be useful?
Thanks for your help!
I’d recommend hiring Orthanc Team for this custom feature: Orthanc - DICOM Server
I believe orthanc python plugin currently only supports adding custom button to legacy Orthanc Explorer, you may want to try adding custom tool to OHIF viewer: Add a Tool to the Viewer | OHIF
Here’s what I would have done:
Write a web extension that extracts the study ID from the URL of one of the viewers.
Okay, thank you very much.
I’ve had to use OHIF as part of my university studies and now I want to explore the resources you’ve shared with me and follow your guidance.
Thank you once again.