Deep Learning in Radiation Oncology: A Guest Post by Brian Anderson
An introduction to deep learning, along with resources to jumpstart your own project.
In radiation therapy, 3D printing has been investigated to create phantoms and custom patient-specific devices.
3D printing can also be used in radiation therapy to create patient-specific phantoms for QA based on CT or MR images of the patient. Gear, et. al investigated creating prototypes of 3D printed liquid-fillable liver, spleen, and kidney shells, which resulted in patient-specific phantoms that were durable and able to be reused for multiple SPECT and PET/CT scanning protocols (2).
After working with Radformation as part of an industry cooperative while pursuing her medical physics MS at Hofstra University, Carly now contributes to the AutoContour team as the Product Manger for AutoContour Models. In her free time she enjoys planning game nights with her friends and family.
Related tags: RadOnc News
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