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Simulation-driven training of vision transformers enables metal artifact reduction of highly truncated CBCT scans (Fuxin Fan)

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Metal Segmentation for CBCT projections

Two pathways are utilized to generate simulated data sets for model training: forward projection by DeepDRR, and 2D merging with X-ray images.

The link for downloading pretrained models is as follows: https://faubox.rrze.uni-erlangen.de/getlink/fiHnt9NBbGcfboiciJt1Z1/

Run test.py to test models on one simulated case.

Paper for this project:

Fan, Fuxin, et al. "Simulation-Driven Training of Vision Transformers Enables Metal Artifact Reduction of Highly Truncated CBCT Scans.“ (Submitted to Medical Physics)

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Simulation-driven training of vision transformers enables metal artifact reduction of highly truncated CBCT scans (Fuxin Fan)

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  • Python 100.0%