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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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State Key Laboratory of Nuclear Physics and Technology, Peking UniversityState Key Laboratory of Nuclear Physics and Technology, Peking University
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
To develop cross-attention-based multi-modal deep learning models and to preliminarily validate their performance for predicting local recurrence (LR) in patients with non-small cell lung cancer (NSCLC).
To develop risk-stratification and prognosis-prediction models for limited-stage small cell lung cancer (LS-SCLC) patients, suggesting potential candidates that may benefit from the new treatment protocol using high-dose hyperfractionated simultaneous integra...