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Synthetic 3D brain data
- Project
- 18022 IVVES
- Description
- Full pipeline from data preprocessing to synthetic data generation
- Designed to work with moderately low amount (≈1000 samples) of input data
- Contact
- Harri Pölönen (VTT), MarkPijnenburg (Philips)
- harri.polonen@vtt.fi
- Technical features
Input(s):
- Real 3D brain scans
- MRI, CT, …
Main feature(s):
- Data preprocessing, registration, augmentation
- Multi-GPU GAN training
Output(s):
- Synthetic 3D brain data
- Integration constraints
- Implemented as Docker images, which can be converted to Singularity images
- Multiple GPUs and lots of RAM (>100 GB) recommended
- Targeted customer(s)
Researchers, data scientists.
- Conditions for reuse
- Mostly built on open-source technology
- Component licenses: Apace 2.0 and MIT
- Confidentiality
- Public
- Publication date
- 29-11-2022
- Involved partners
- Philips Electronics Nederland BV (NLD)
- VTT Technical Research Centre of Finland Ltd. (FIN)