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Before performing radiation therapy, oncologists review medical images to identify tumors and surrounding tissue, a task known as contouring.

Researchers from MD Anderson Cancer Center developed a new method for automating the contouring of high-risk clinical target volumes using artificial intelligence and supercomputers.

The predicted contours could be implemented clinically, with only minor or no changes.

They report their results in the June 2018 issue of the International Journal of Radiation Oncology*Biology*Physics.

The method will be particularly useful in countries where expertise in contouring is rare.


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