Open access
2026
From Geometric to Realistic: A Pipelined Deep Learning Framework for Cranial Implant Design Using PCA-Based Synthetic Data
A novel deep learning framework that utilizes Principal Component Analysis (PCA) to generate realistic synthetic cranial defect data is developed, thereby enhancing the training of neural networks for implant design and establishing a new standard for synthetic data generation and multi-stage inference in medical image...
Gorkem Serbes, H. Ilhan, Osman Liv et al.
· IEEE Access · 0 citations