DICOM Web Labeller (OHIF Library)
DICOM Web Labeller
For Web Applications, we use OHIF's official library to view medical images (cornerstone-core, DWV). But for mobile, there is no library available so we created our own library to view medical images. By using Google cloud brackets, all patient data is retrieved from the Healthcare store. Detect bleeding or hemorrhage after CT scans using the Python API. Afterward, the doctor will check and begin treatment through the virtual clinic.
Powerful Features of DICOM Web Labeller
- DICOM Image Support:
- Annotation Tools:
- Multi-Modality Support:
- Measurement Tools:
- Image Comparison:
- User Authentication and Authorization:
- Audit Trail:
- Collaboration Features:
- Template and Workflow Customization:
- DICOM Tag Editing:
- Export and Report Generation:
- Integration with PACS (Picture Archiving and Communication System):
Project Information
Client:
DICOM Web Labeller (OHIF Library)
Category:
(React.js)
Date:
10 Jan, 2022
Live Demo:
https://youtu.be/YY8Q2t1PQ00