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Abstract #2870

GAN based transformation of pathology data into its normative state for interventional neuro-therapy planning

Arathi Sreekumari1, Sandeep Kaushik1, Suresh Joel1, and Dattesh Shanbhag1

1GE Global Research, Bangalore, India

In this work, we demonstrate that images with pathologies can be transformed to its non-pathological normal state using a cycle Generative Adversarial Network (cGAN). Potential applications of the work are in surgical planning, radiation therapy planning and longitudinal studies.

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