![]() ![]() this means using docker and singularity to easily deploy servers (more suited for docker), and general tools and applications (singularity is more suited for tools on shared resources). this application is under ntainerswe will be developing different dicom applications that are container-based. see the documentation for details.dicom-database is a simlpified version of sendit, intended for local management of dicom. this application is under development, and not yet ready for use. see the documentation base for getting started.applicationssendit 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. we will soon be consolidating these two so that it is less iddeid is a simple module and client that can handle coding (replacement of identifiers) with a study alias. 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. we have started a base of docs here, and see the documentation for you to get started.pynetdicompynetdicom3 is where you want to start if you want to create service class providers (scps) or service class users (scus). The Open button unloads data currently in VQ and replaces it with the highlighted data. ![]() If an entire Study is highlighted, the Open button recognizes which data file is the CT and sets it as the Reference. If a single data file is highlighted, it will be opened as the Reference image. if you want to come and chat, find our community on gitter, or post an issue on one of our repos.modulespydicomif you want to work with dicom datasets, you should use pydicom. Open: Opens the data highlighted in the Study Browser. 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. Pydicom dicom (digital imaging in medicine) is the bread and butter of medical image datasets, storage and transfer.
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