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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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Department of Oncology, University of Alberta
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Fast and accurate dose calculation is a key requirement for real-time adaptive radiotherapy, particularly for emerging image-guided radiation therapy systems. Monte Carlo methods and existing treatment planning system (TPS) algorithms do not achieve the compu...
To evaluate the generalizability of a deep learning (DL)-model, trained exclusively with external beam radiotherapy (EBRT) organs‑at‑risk (OARs) contours, for autocontouring in cervical cancer brachytherapy (CC-BT).
MRI-radiotherapy hybrid systems enable real-time guidance of the therapeutic beam by dynamically adapting to tumor motion. However, inherent delays in imaging and beam control demand prediction of the tumor’s future position and shape for accurate targeting....