![]() See the documentation for details.ĭicom-database is a simlpified version of sendit, intended for local management of DICOM. This application is under development, and not yet ready for use. Sendit is an example Dockerized web application to recive Dicom images, deidentify using your API (and deid, above), and then send off to different storage locations. See the documentation base for getting started. Deidĭeid is a simple module and client that can handle coding (replacement of identifiers) with a study alias. ![]() We will soon be consolidating these two so that it is less confusing. This is the bread and butter of the protocol, and is based on the original pynetdicom. These are the little servers/processes that echo/store/move/find dicom datasets around. Pynetdicom3 is where you want to start if you want to create Service Class Providers (SCPs) or Service Class Users (SCUs). We have started a base of docs here, and see the documentation for you to get started. If you want to work with dicom datasets, you should use pydicom. If you want to come and chat, find our community on Gitter, or post an issue on one of our repos. If you are a Python developer looking to get started with Dicom and Python, this will be the place to learn and contribute! For now, here are some helpful links, and general plan for some of the code bases in the organization. This is the future home of the Pydicom documentation. Dicom (Digital Imaging in Medicine) is the bread and butter of medical image datasets, storage and transfer. ![]()
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