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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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University of Yamanashi
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Manual verification of AI-based auto-contouring is labor-intensive and prone to fatigue-related errors. This study evaluated the feasibility of automated visual quality assessment using a multimodal large language model (LLM), Gemini 2.5 Flash, to assess its...
This study proposes and evaluates a framework for EPID-based virtual audit in radiotherapy using a model constructed from multi-institutional data and validated through comparison with machine-specific models.