Deep Learning in Radiation Oncology: A Guest Post by Brian Anderson
An introduction to deep learning, along with resources to jumpstart your own project.
DIBH is a validated motion management technique that provides excellent dose coverage while sparing OARs.
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 a Clinical Data Analyst. In her free time she enjoys planning game nights with her friends and family.
Related tags: RadOnc News
An introduction to deep learning, along with resources to jumpstart your own project.
Perspectives from clinical physicists on how COVID-19 has transformed radiation therapy.
More MR Models, New Vertebral Bodies, and Model Variations Added in Latest Structure Model Release
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