Abstract
Research computing in radiation therapy is transitioning from small-scale computing to large software systems. Accelerator-mounted imaging devices collect multiple images at every treatment fraction, creating datasets of hundreds of images per patient. Compounding this challenge is the fact that software infrastructure upgrades are difficult to manage in academic environments, due to inadequate experience in large-scale software development.
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