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Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction
In this study we aim to improve automated segmentation in CBCTs through multi-task learning.
Sequential IoT Data Augmentation using Generative Adversarial Networks
The positive results from the evaluation support the initial assumption that generating sequential data from a small ground truth is possible.
Immutable and Democratic Data in permissionless Peer-to-Peer Systems
Conventional data storage methods like SQL and NoSQL offer a huge amount of possibilities with one major disadvantage, having to use a centralized authority.
Databases Cryptography and Security
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
In addition, we identify currently unavailable methods with potential for future applications.
