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Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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Department of Medical Physics, Memorial Sloan Kettering Cancer Center
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
To identify blood-bearing organs whose mean blood dose is significantly associated with OS in non-small cell lung cancer (NSCLC), and to evaluate the feasibility of sparing these organs during treatment planning.
Despite extensive research on automated treatment planning, manual trial-and-error optimization remains common in clinical practice. Knowledge-based and AI-driven approaches show promise but often lack robustness to evolving clinical protocols due to the need...