We are working on several medical imaging projects (i.e., BreastScreening, MIDA, and MIMBCD-UI) that deals with a huge amount of data. From medical images and data at the following modalities: (1) MammoGraphy (MG) in both CranioCaudal (CC) and MedioLateral Oblique (MLO) views; (2) UltraSound (US); (3) Magnetic Resonance Imaging (MRI); to (4) text; and (5) annotations. We already have formal protocols with the clinical institutions, as well as data agreements with both the National health data responsible committee and patients. Our purpose is to publicly share the presented data after scientific publication. As follows, we will show the list of our current data size.
Summarizations list of current data to store:
- Breast Cancer Patients = ~400 cases;
- Multi-Modality of Medical Images Dataset = ~1200 images;
- Annotations Dataset = ~250 annotated cases;
The question is regarding how should we share this amount of information. Our first thought was to store it on a version control storing solution, such as GitHub or GitLab, for instance.
So we do the following question:
Are version control storing solutions a good option to store Medical Imaging open data?