A frontend for Niffler DICOM framework for machine learning pipelines and processing workflows
- Mentors
- Imon Banerjee, Judy Gichoya, Pradeeban Kathiravelu
- Organization
- Department of Biomedical Informatics (BMI), Emory University School of Medicine
This project aims to develop a potential frontend for Niffler. Niffler is currently a command-line tool where the user has to download it in their system and run python commands to retrieve the DICOM images. The main aim of Niffler is to retrieve DICOM images from multiple PACS and store them as png images or metadata files. This can be done currently via the command line. Enhancing this with a frontend and making this a web application would be beneficial and easy to use by a large number of non-technical users and clients.