Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Author profile
Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Radiation therapy(RT) planning remains a manual, trial-and-error process that consumes significant clinical time and yields inconsistent results. We present a compound AI platform integrated with a commercial treatment-planning-system(TPS), combining autonomo...
Deep learning (DL)-based dose prediction has become an important component of modern radiotherapy treatment planning. However, most existing approaches depend on site-specific models, necessitating separate training for each anatomical site, which limits scal...