Abstract
This deliverable represents a summary of the contents of this deliverable organised by modality and methodology. The main modalities are broken down into Imaging, Tabular and Time Series and multi-modality. All disease use cases (Lung, Breast, Multiple Myeloma, Lymphoma, Alzheimer’s disease, and Diabetes) and data science specific uses (training data augmentation, synthetic control arm, privacy etc.) are covered within these data type modalities driven by the various SYNTHIA developer stakeholders.
Keywords
- Artificial Intelligence in Healthcare and Education
- synthetic data generation
- synthetic control arms
- data augmentation
- privacy-preserving data
- multimodal data
- time series
- tabular data
- medical imaging data
- lung cancer
- breast cancer
- multiple myeloma
Source
Published in Zenodo (CERN European Organization for Nuclear Research). The abstract is shown as published and remains the work of its authors; read the full article at the source.
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