CTRI/2020/12/030027招募中1 期
Development and internal validation of machine learning based auto segmentation for all disease sites in Radiation Oncology - MILARO
AIRONC Healthcare Private Technologies Ltd0 个研究点目标入组 0 人开始时间: 待定最近更新:
试验速览
- 阶段
- 1 期
- 状态
- 招募中
- 发起方
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
入选标准
- •1) Patient anonymized radiotherapy datasets of all disease sites: brain, head and neck, thorax (male and female), abdomen, pelvis (male and female) and extremity.
- •2) Diagnostic MRI, CT or PET scans used for radiotherapy contouring (both registered and non- registered datasets with planning CT).
- •3) Radiotherapy planning scans- initial and multiple scans take throughout the treatment (adaptive radiotherapy process).
- •4) Cone beam CT scans taken during radiotherapy treatment verification on linear accelerator machine.
- •5) Radiotherapy related data for all patients -- curative and palliative.
排除标准
- •1) Diagnostic scans of patients not treated with radiotherapy.
- •2) CT scans with non- standard spacing.
研究者
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