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Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks

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Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks

This is the official implementation of the paper "Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks" in PyTorch.

Training

To run training with default parameters from root directory: python main.py

To run testing: python main.py --testing=True

Training samples are saved under output/ and loss values are logged in logs/

Credits

Author: Chi Nok Enoch Kan @enochkan @ [Ye's MLIP Lab] @ Marquette Starter repo: Te-Lin Wu / @telin0411 @ Joseph Lim's research lab @ USC

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Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks

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