New deep learning tool may boost precision and consistency for cancer treatment.
New deep learning tool may boost precision and consistency for cancer treatment.
In radiation therapy, precision can save lives. Oncologists must carefully map the size and location of a tumor before delivering high-dose radiation to destroy cancer cells while sparing healthy tissue. But this process, called tumor segmentation, is still done manually, takes time, varies between doctors — and can lead to critical tumor areas being overlooked.
Now, in a study a team of Northwestern Medicine scientists has developed an AI tool called iSeg that not only matches doctors in accurately outlining lung tumors on CT scans but can also identify areas that some doctors may miss, reports a large new study published in npj Precision Oncology.
Read more: Northwestern University
Image: Study co-author Troy Teo, PhD, an instructor in the Department of Radiation Oncology, shows how a new AI tool contours a lung tumor as it moves with each breath. (Credit: Northwestern University)
