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Abstract #4821

DeepRad: An Accessible, Open-source Tool for Deep Learning in Medical Imaging

Jinnian Zhang1, Samuel A Hurley2, Varun Jog1, and Alan B McMillan2

1Electrical & Computer Engineering, University of Wisconsin, Madison, WI, United States, 2Radiology, University of Wisconsin, Madison, WI, United States

Deep learning has shown incredible potential as a powerful tool in medical imaging, however accessibility to deep learning is still limited for users who lack expertise in computer programming, machine learning, or data science. Existing tools to perform deep learning have not been designed to be user friendly. We have developed a powerful, flexible, and easy-to-use software specifically tailored to medical imaging for biomedical researchers and physicians with limited programming skills to utilize deep learning for many common tasks.

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